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1.
Tidare, Jonatan.
A BRAIN-ACTUATED ROBOT CONTROLLER FOR INTUITIVE AND RELIABLE MANOEUVRING.
Degree: Design and Engineering, 2016, Mälardalen University
URL: http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-31812 
► During this master-thesis a robot controller designed for low-throughput and noisy EEG-data of a Brain Computer Interface (BCI) is implemented. The hypothesis of this…
(more)
▼ During this master-thesis a robot controller designed for low-throughput and noisy EEG-data of a Brain Computer Interface (BCI) is implemented. The hypothesis of this master-thesis state that it is possible to design a modular and platform independent BCI-based controller for a mobile robot, which regulates the autonomy of the robot as a function of the user’s will to control. The BCI design is thoroughly described, including both the design choices regarding used brain activity signals and the pre- and post-processing of EEG data. The robot controller is experimentally tested by completing a set of missions in a simulated environment. Both quantitative and qualitative data is derived from the experimental test setup and used to evaluate the controller performance with different levels of induced noise. Additional to the robot control performance result, an offline validation of the BCI performance is depicted. Strength and weaknesses of the system design is presented based on the acquired result, and suggested solutions to improve the over-all performance is given. The produced result show that using the developed controller is a feasible approach for reliable and intuitive manoeuvring of a telepresence robot.
Subjects/Keywords: BCI
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APA (6th Edition):
Tidare, J. (2016). A BRAIN-ACTUATED ROBOT CONTROLLER FOR INTUITIVE AND RELIABLE MANOEUVRING. (Thesis). Mälardalen University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-31812
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Tidare, Jonatan. “A BRAIN-ACTUATED ROBOT CONTROLLER FOR INTUITIVE AND RELIABLE MANOEUVRING.” 2016. Thesis, Mälardalen University. Accessed January 24, 2021.
http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-31812.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Tidare, Jonatan. “A BRAIN-ACTUATED ROBOT CONTROLLER FOR INTUITIVE AND RELIABLE MANOEUVRING.” 2016. Web. 24 Jan 2021.
Vancouver:
Tidare J. A BRAIN-ACTUATED ROBOT CONTROLLER FOR INTUITIVE AND RELIABLE MANOEUVRING. [Internet] [Thesis]. Mälardalen University; 2016. [cited 2021 Jan 24].
Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-31812.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Tidare J. A BRAIN-ACTUATED ROBOT CONTROLLER FOR INTUITIVE AND RELIABLE MANOEUVRING. [Thesis]. Mälardalen University; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-31812
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Illinois – Urbana-Champaign
2.
Norton, James J. S.
Steady-state visual evoked potentials and their application to brain-computer interfaces.
Degree: PhD, Neuroscience, 2017, University of Illinois – Urbana-Champaign
URL: http://hdl.handle.net/2142/99213
► This dissertation presents five contributions to the design of steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs). First, a new method—based on visual stimulation during…
(more)
▼ This dissertation presents five contributions to the design of steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs). First, a new method—based on visual stimulation during sleep—for investigating the neural mechanisms of SSVEPs. Second, a comparison of performance—in terms of accuracy, latency, bitrate, and engagement—between children and adults when using an SSVEP-based
BCI. Third, a gel-less epidermal electronic system electrode for use in SSVEP-based BCIs that adheres to the skin through van der Waals forces. Fourth, a potential application for SSVEP-based BCIs in individuals without disabilities. Fifth, an adaptive user interface for SSVEP-based
BCI text-entry that nearly doubles the performance of existing systems. Following the description of these contributions, potential directions for future research are also discussed. These contributions each move a step towards the long-term goal of developing SSVEP-based BCIs that are useful outside of the research laboratory for either those with or without disabilities.
Advisors/Committee Members: Bretl, Timothy W (advisor), Bretl, Timothy W (Committee Chair), Federmeier, Kara (committee member), Beck, Diane (committee member), Do, Minh (committee member).
Subjects/Keywords: BCI; EEG; SSVEP
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APA (6th Edition):
Norton, J. J. S. (2017). Steady-state visual evoked potentials and their application to brain-computer interfaces. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/99213
Chicago Manual of Style (16th Edition):
Norton, James J S. “Steady-state visual evoked potentials and their application to brain-computer interfaces.” 2017. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed January 24, 2021.
http://hdl.handle.net/2142/99213.
MLA Handbook (7th Edition):
Norton, James J S. “Steady-state visual evoked potentials and their application to brain-computer interfaces.” 2017. Web. 24 Jan 2021.
Vancouver:
Norton JJS. Steady-state visual evoked potentials and their application to brain-computer interfaces. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2017. [cited 2021 Jan 24].
Available from: http://hdl.handle.net/2142/99213.
Council of Science Editors:
Norton JJS. Steady-state visual evoked potentials and their application to brain-computer interfaces. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/99213
University of Toronto
3.
Stojic, Filip.
A Novel EEG-BCI Dependent on Discrimination of Imagined Stimuli in Visual Field Quadrants.
Degree: 2017, University of Toronto
URL: http://hdl.handle.net/1807/97128
► Brain computer interfaces (BCIs) can provide individuals with severe motor disorders a means of communication. This study aimed to determine whether visuospatial imagery could be…
(more)
▼ Brain computer interfaces (BCIs) can provide individuals with severe motor disorders a means of communication. This study aimed to determine whether visuospatial imagery could be used to signify intent in an electroencephalography (EEG)-based BCI. Eighteen healthy participants imagined stimuli in visual field quadrants while EEG was collected. A subset of participants used visuospatial imagery to control a character’s movement in four directions. Classifying rest against non-specific visuospatial imagery attained accuracies of 77±11.4%. Six participants exceeded chance when discriminating imagery in diagonally-opposing quadrants. These six could be predicted using a regression model that combined visuospatial perception and fatigue scores. The 4-class navigation accuracy was 48.3±18.8% (max 85%). Imagery in one hemifield corresponded to significant increases in alpha spindles in ipsilateral visual cortical regions. While further improvement is necessary to make the paradigm generalizable, visuospatial imagery shows promise for becoming a useful system for individuals in need of a BCI access technology.
M.A.S.
2019-11-03 00:00:00
Advisors/Committee Members: Chau, Tom, Biomedical Engineering.
Subjects/Keywords: BCI; EEG; imagery; visuospatial; 0541
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APA (6th Edition):
Stojic, F. (2017). A Novel EEG-BCI Dependent on Discrimination of Imagined Stimuli in Visual Field Quadrants. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/97128
Chicago Manual of Style (16th Edition):
Stojic, Filip. “A Novel EEG-BCI Dependent on Discrimination of Imagined Stimuli in Visual Field Quadrants.” 2017. Masters Thesis, University of Toronto. Accessed January 24, 2021.
http://hdl.handle.net/1807/97128.
MLA Handbook (7th Edition):
Stojic, Filip. “A Novel EEG-BCI Dependent on Discrimination of Imagined Stimuli in Visual Field Quadrants.” 2017. Web. 24 Jan 2021.
Vancouver:
Stojic F. A Novel EEG-BCI Dependent on Discrimination of Imagined Stimuli in Visual Field Quadrants. [Internet] [Masters thesis]. University of Toronto; 2017. [cited 2021 Jan 24].
Available from: http://hdl.handle.net/1807/97128.
Council of Science Editors:
Stojic F. A Novel EEG-BCI Dependent on Discrimination of Imagined Stimuli in Visual Field Quadrants. [Masters Thesis]. University of Toronto; 2017. Available from: http://hdl.handle.net/1807/97128
University of Florida
4.
Dunbar, Jerone N.
The Voice Based Arithmetic System Aimed at Helping Drowsy Drivers.
Degree: PhD, Human-Centered Computing - Computer and Information Science and Engineering, 2018, University of Florida
URL: https://ufdc.ufl.edu/UFE0052516
► Highly and fully automated vehicles have gained much popularity in recent years based on the expectations to reduce human related accidents and fatalities. It may…
(more)
▼ Highly and fully automated vehicles have gained much popularity in recent years based on the expectations to reduce human related accidents and fatalities. It may appear that we are close to the deployment of fully autonomous vehicles, which can minimize these accidents related to distraction and human control, however there are several barriers that will delay their immediate implementation and widespread adoption. Current highly automated vehicles provide a broad range of assistive and safety features but has an indirect effect of enabling drivers to be disengaged from the primary driving task. Driver distraction has resulted in numerous accidents, fatalities and costly property damage. The issues relating to driver distraction will continue to be a serious concern for highly automated and lower level vehicles for many years into the future until we reach a point where fully autonomous vehicles are widespread on all roads. One type of distraction that has always been of concern to roadway safety is driver drowsiness. Even with the advancements in alerting systems of today, these systems have been ineffective at keeping drowsy drivers temporarily alert. Although alerts and notifications have been prevalent for a few years, research regarding continuous engagement for drowsy drivers has been largely unexplored. A continuous engagement system has the potential to increase roadway safety since some roadways have nowhere to pull over, some areas are deemed unsafe to stop and in other circumstances drivers would attempt to complete the remainder of a short trip without continuous assistance.
Advisors/Committee Members: GILBERT,JUAN EUGENE (committee chair), MCMULLEN,KYLA (committee member), ELEFTERIADOU,AGELIKI (committee member).
Subjects/Keywords: bci – distraction – driver – drowsiness – eeg
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APA (6th Edition):
Dunbar, J. N. (2018). The Voice Based Arithmetic System Aimed at Helping Drowsy Drivers. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0052516
Chicago Manual of Style (16th Edition):
Dunbar, Jerone N. “The Voice Based Arithmetic System Aimed at Helping Drowsy Drivers.” 2018. Doctoral Dissertation, University of Florida. Accessed January 24, 2021.
https://ufdc.ufl.edu/UFE0052516.
MLA Handbook (7th Edition):
Dunbar, Jerone N. “The Voice Based Arithmetic System Aimed at Helping Drowsy Drivers.” 2018. Web. 24 Jan 2021.
Vancouver:
Dunbar JN. The Voice Based Arithmetic System Aimed at Helping Drowsy Drivers. [Internet] [Doctoral dissertation]. University of Florida; 2018. [cited 2021 Jan 24].
Available from: https://ufdc.ufl.edu/UFE0052516.
Council of Science Editors:
Dunbar JN. The Voice Based Arithmetic System Aimed at Helping Drowsy Drivers. [Doctoral Dissertation]. University of Florida; 2018. Available from: https://ufdc.ufl.edu/UFE0052516
University of Ontario Institute of Technology
5.
Bellman, Christopher.
Using consumer-grade brain-computer interface devices to capture and detect unaware facial recognitions.
Degree: 2017, University of Ontario Institute of Technology
URL: http://hdl.handle.net/10155/797
► The brain's natural reaction to viewing and processing faces in an aware manner is an area of research that has been explored for previously, however…
(more)
▼ The brain's natural reaction to viewing and processing faces in an aware manner
is an area of research that has been explored for previously, however the brain's
unaware reactions to these stimuli prove to be fairly less explored. An experiment
was performed where recruited participants viewed images of individuals' faces while
their brains' electroencephalography signals were recorded using a consumer-grade
BCI device. The chosen images were assigned one of three classes of recognition,
corresponding with what we expect the images to be recognized as: No Recognition,
Possible Unaware Recognition, and Possible Aware Recognition. Using modern filtering and analysis techniques, it was found that, in effect, using consumer-grade
brain-computer interface devices, the three previously-defined classes of recognition
are easily identified, both with the human eye and machine learning tools, and previous efforts to detect unaware/subconscious facial recognition have been improved on
using a variety of methods for data manipulation.
Advisors/Committee Members: Vargas Martin, Miguel.
Subjects/Keywords: BCI; EEG; Unaware; Facial; Recognition
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APA (6th Edition):
Bellman, C. (2017). Using consumer-grade brain-computer interface devices to capture and detect unaware facial recognitions. (Thesis). University of Ontario Institute of Technology. Retrieved from http://hdl.handle.net/10155/797
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Bellman, Christopher. “Using consumer-grade brain-computer interface devices to capture and detect unaware facial recognitions.” 2017. Thesis, University of Ontario Institute of Technology. Accessed January 24, 2021.
http://hdl.handle.net/10155/797.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Bellman, Christopher. “Using consumer-grade brain-computer interface devices to capture and detect unaware facial recognitions.” 2017. Web. 24 Jan 2021.
Vancouver:
Bellman C. Using consumer-grade brain-computer interface devices to capture and detect unaware facial recognitions. [Internet] [Thesis]. University of Ontario Institute of Technology; 2017. [cited 2021 Jan 24].
Available from: http://hdl.handle.net/10155/797.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Bellman C. Using consumer-grade brain-computer interface devices to capture and detect unaware facial recognitions. [Thesis]. University of Ontario Institute of Technology; 2017. Available from: http://hdl.handle.net/10155/797
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Colorado State University
6.
Mathison, Matthew A.
Neural correlates of executed and imagined joystick directional movements: a functional near-infrared spectroscopy study.
Degree: MS(M.S.), Psychology, 2019, Colorado State University
URL: http://hdl.handle.net/10217/199836
► Motor-based brain computer interfaces (BCIs) attempt to restore and/or enhance motor functioning by measuring brain signals and converting them to computerized output. Functional near-infrared spectroscopy…
(more)
▼ Motor-based brain computer interfaces (BCIs) attempt to restore and/or enhance motor functioning by measuring brain signals and converting them to computerized output. Functional near-infrared spectroscopy (fNIRS) is a non-invasive brain imaging modality that is resistant to both noise and motion-related artifacts. For this reason, fNIRS offers potential as an imaging method for use in a
BCI. Currently, there is a paucity of literature on fNIRS as a sole
BCI imaging method. Of the extant literature, studies were limited by low-density optode layouts and/or task designs which did not represent the motor goal. The present study was designed to enhance our understanding of the capabilities of fNIRS by utilizing a high-density optode array and an experimental task that closely mirrored the motor goal. 28 participants completed a series of executed and imagined joystick movements in four directions (forward, back, right, and left). Results indicated significant differences in inferred cortical activation during executed movements compared to baseline, executed movements compared to imagined movements, and imagined movements compared to baseline. No significant differences were observed for comparisons between individual movement directions. Results support the possibility that fNIRS may not be capable of distinguishing between changes in brain activity associated with joystick movement directions. Future research could enhance classification accuracy by implementing a machine learning algorithm or by pairing fNIRS with electroencephalography.
Advisors/Committee Members: Rojas, Donald C. (advisor), Davalos, Deana (committee member), Anderson, Chuck (committee member).
Subjects/Keywords: fNIRS; motor; imagery; BCI
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Manager
APA (6th Edition):
Mathison, M. A. (2019). Neural correlates of executed and imagined joystick directional movements: a functional near-infrared spectroscopy study. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/199836
Chicago Manual of Style (16th Edition):
Mathison, Matthew A. “Neural correlates of executed and imagined joystick directional movements: a functional near-infrared spectroscopy study.” 2019. Masters Thesis, Colorado State University. Accessed January 24, 2021.
http://hdl.handle.net/10217/199836.
MLA Handbook (7th Edition):
Mathison, Matthew A. “Neural correlates of executed and imagined joystick directional movements: a functional near-infrared spectroscopy study.” 2019. Web. 24 Jan 2021.
Vancouver:
Mathison MA. Neural correlates of executed and imagined joystick directional movements: a functional near-infrared spectroscopy study. [Internet] [Masters thesis]. Colorado State University; 2019. [cited 2021 Jan 24].
Available from: http://hdl.handle.net/10217/199836.
Council of Science Editors:
Mathison MA. Neural correlates of executed and imagined joystick directional movements: a functional near-infrared spectroscopy study. [Masters Thesis]. Colorado State University; 2019. Available from: http://hdl.handle.net/10217/199836
Colorado State University
7.
Alzahrani, Saleh Ibrahim.
P300 wave detection using Emotiv EPOC+ headset: effects of matrix size, flash duration, and colors.
Degree: MS(M.S.), Bioengineering, 2016, Colorado State University
URL: http://hdl.handle.net/10217/178958
► Brain-computer interfaces (BCIs) allow interactions between human beings and comput- ers without using voluntary muscle. Enormous research effort has been employed in the last few…
(more)
▼ Brain-computer interfaces (BCIs) allow interactions between human beings and comput- ers without using voluntary muscle. Enormous research effort has been employed in the last few decades to design convenient and user-friendly interfaces. The aim of this study is to provide the people with severe neuromuscular disorders a new augmentative communication technology so that they can express their wishes and communicate with others. The research investigates the capability of Emotiv EPOC+ headset to capture and record one of the BCIs signals called P300 that is used in several applications such as the P300 speller. The P300 speller is a
BCI system used to enable severely disabled people to spell words and convey their thoughts without any physical effort. In this thesis, the effects of matrix size, flash duration, and colors were studied. Data are collected from five healthy subjects in their home environments. Different programs are used in this experiment such as OpenViBE platform and MATLAB to pre-process and classify the EEG data. Moreover, the Linear Discriminate Analysis (LDA) classification algorithm is used to classify the data into target and non-target samples.
Advisors/Committee Members: Anderson, Charles W. (advisor), Vigh, Jozsef (committee member), Gavin, William (committee member).
Subjects/Keywords: P300; Emotiv EPOC+; BCI; EEG
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APA (6th Edition):
Alzahrani, S. I. (2016). P300 wave detection using Emotiv EPOC+ headset: effects of matrix size, flash duration, and colors. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/178958
Chicago Manual of Style (16th Edition):
Alzahrani, Saleh Ibrahim. “P300 wave detection using Emotiv EPOC+ headset: effects of matrix size, flash duration, and colors.” 2016. Masters Thesis, Colorado State University. Accessed January 24, 2021.
http://hdl.handle.net/10217/178958.
MLA Handbook (7th Edition):
Alzahrani, Saleh Ibrahim. “P300 wave detection using Emotiv EPOC+ headset: effects of matrix size, flash duration, and colors.” 2016. Web. 24 Jan 2021.
Vancouver:
Alzahrani SI. P300 wave detection using Emotiv EPOC+ headset: effects of matrix size, flash duration, and colors. [Internet] [Masters thesis]. Colorado State University; 2016. [cited 2021 Jan 24].
Available from: http://hdl.handle.net/10217/178958.
Council of Science Editors:
Alzahrani SI. P300 wave detection using Emotiv EPOC+ headset: effects of matrix size, flash duration, and colors. [Masters Thesis]. Colorado State University; 2016. Available from: http://hdl.handle.net/10217/178958
8.
Silveira, Josimara de Ávila.
Análise de sinais cerebrais utilizando árvores de decisão.
Degree: 2013, Universidade Federal do Rio Grande
URL: http://repositorio.furg.br/handle/1/6409
► Este trabalho propõe um estudo de sinais cerebrais aplicados em sistemas BCI (Brain-Computer Interface - Interfaces Cérebro Computador), através do uso de Árvores de Decisão…
(more)
▼ Este trabalho propõe um estudo de sinais cerebrais aplicados em sistemas BCI (Brain-Computer Interface - Interfaces Cérebro Computador), através do uso de Árvores de
Decisão e da análise dessas árvores com base nas Neurociências. Para realizar o tratamento
dos dados são necessárias 5 fases: aquisição de dados, pré-processamento, extração de
características, classificação e validação.
Neste trabalho, todas as fases são contempladas. Contudo, enfatiza-se as fases de
classificação e de validação. Na classificação utiliza-se a técnica de Inteligência Artificial
denominada Árvores de Decisão. Essa técnica é reconhecida na literatura como uma das
formas mais simples e bem sucedidas de algoritmos de aprendizagem. Já a fase de validação é realizada nos estudos baseados na Neurociência, que é um conjunto das disciplinas
que estudam o sistema nervoso, sua estrutura, seu desenvolvimento, funcionamento, evolução, relação com o comportamento e a mente, e também suas alterações.
Os resultados obtidos neste trabalho são promissores, mesmo sendo iniciais, visto que
podem melhor explicar, com a utilização de uma forma automática, alguns processos
cerebrais.
This work proposes a study on brain signals applied to BCI (Brain-Computer Interface)
systems, through the use of Decision Trees and the analysis of these trees based on Neuroscience.
To treat the data, this system must execute ve stages: data acquisition,
preprocessing, feature extraction, classi cation and validation.
In this work, all phases are executed. However, it emphasizes the classi cation and
validation phases. In the classi cation, it uses the Arti cial Intelligence technique called
Decision Trees. This technique is known in the literature as one of the most successful
and simpler learning algorithms. The validation phase is based on studies performed in
Neuroscience, which is a set of disciplines that study the nervous system, its structure,
its development, operation, evolution, behavior and relationship with the mind, and also
your changes.
The results of this study are promising, even initials, since they can better explain,
with the use of an automated way, some brain processes.
Advisors/Committee Members: Adamatti, Diana Francisca, Carvalho, Fernanda Antoniolo Hammes de.
Subjects/Keywords: Sistemas BCI; Árvores de decisão; Neurociência; BCI systems; Decision trees; Neuroscience
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APA (6th Edition):
Silveira, J. d. . (2013). Análise de sinais cerebrais utilizando árvores de decisão. (Masters Thesis). Universidade Federal do Rio Grande. Retrieved from http://repositorio.furg.br/handle/1/6409
Chicago Manual of Style (16th Edition):
Silveira, Josimara de Ávila. “Análise de sinais cerebrais utilizando árvores de decisão.” 2013. Masters Thesis, Universidade Federal do Rio Grande. Accessed January 24, 2021.
http://repositorio.furg.br/handle/1/6409.
MLA Handbook (7th Edition):
Silveira, Josimara de Ávila. “Análise de sinais cerebrais utilizando árvores de decisão.” 2013. Web. 24 Jan 2021.
Vancouver:
Silveira Jd. Análise de sinais cerebrais utilizando árvores de decisão. [Internet] [Masters thesis]. Universidade Federal do Rio Grande; 2013. [cited 2021 Jan 24].
Available from: http://repositorio.furg.br/handle/1/6409.
Council of Science Editors:
Silveira Jd. Análise de sinais cerebrais utilizando árvores de decisão. [Masters Thesis]. Universidade Federal do Rio Grande; 2013. Available from: http://repositorio.furg.br/handle/1/6409
Universiteit Utrecht
9.
Gonzalez Llinares, B.
Brain Computer Interfaces (BCIs) Based on the P300 Event Related Potential (ERP).
Degree: 2010, Universiteit Utrecht
URL: http://dspace.library.uu.nl:8080/handle/1874/179660
► Research in Brain-Computer Interfaces (BCIs) ranges from applications for people with severe motor disorders such as amyotrophic lateral sclerosis (ALS), to applications for the consumer…
(more)
▼ Research in Brain-Computer Interfaces (BCIs) ranges from applications for people with severe motor disorders such as amyotrophic lateral sclerosis (ALS), to applications for the consumer market such as games. During the last decades significant progress has been achieved in this field. BCIs can be based on different techniques that measure brain activity, the most used of them being electroencephalography (EEG). In turn, different EEG signals can be used to control a device via a
BCI system, including event related potentials (ERPs) such as the P300. This ERP is particularly interesting for
BCI control because it allows to communicate attendance to a choice stimulus with practically no training required. Multimodal presentation enhances P300 amplitude and it is hypothesized to be one way to improve
BCI efficiency as attentional capacity for processing concurrent stimuli is larger across sensory modalities than within a single modality. This review focuses on current P300-based BCIs, especially those which use multimodal stimuli. We also cover the differences between P300s elicited in different modalities, suggestions of other ERPs and brain oscillations which might contribute to improve such
BCI, and an overview of the neurobiology of multimodal integration. Finally, possible applications of this type of system and proposals for future research are discussed.
Advisors/Committee Members: Werkhoven, P.J., Ramsey, N., Thurlings, M.E..
Subjects/Keywords: Geneeskunde; BCI, P300, EEG, ERP, Multimodal integration
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APA (6th Edition):
Gonzalez Llinares, B. (2010). Brain Computer Interfaces (BCIs) Based on the P300 Event Related Potential (ERP). (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/179660
Chicago Manual of Style (16th Edition):
Gonzalez Llinares, B. “Brain Computer Interfaces (BCIs) Based on the P300 Event Related Potential (ERP).” 2010. Masters Thesis, Universiteit Utrecht. Accessed January 24, 2021.
http://dspace.library.uu.nl:8080/handle/1874/179660.
MLA Handbook (7th Edition):
Gonzalez Llinares, B. “Brain Computer Interfaces (BCIs) Based on the P300 Event Related Potential (ERP).” 2010. Web. 24 Jan 2021.
Vancouver:
Gonzalez Llinares B. Brain Computer Interfaces (BCIs) Based on the P300 Event Related Potential (ERP). [Internet] [Masters thesis]. Universiteit Utrecht; 2010. [cited 2021 Jan 24].
Available from: http://dspace.library.uu.nl:8080/handle/1874/179660.
Council of Science Editors:
Gonzalez Llinares B. Brain Computer Interfaces (BCIs) Based on the P300 Event Related Potential (ERP). [Masters Thesis]. Universiteit Utrecht; 2010. Available from: http://dspace.library.uu.nl:8080/handle/1874/179660
University of Alberta
10.
Ruan, Xiaofeng.
Developing and testing methods to assess species extinction
risk and ecosystem degeneration.
Degree: PhD, Department of Renewable Resources, 2016, University of Alberta
URL: https://era.library.ualberta.ca/files/cgm80hv62q
► Species worldwide are becoming increasingly threatened due to the rapid changes in climate and land use induced by human activities. The loss of species threatens…
(more)
▼ Species worldwide are becoming increasingly threatened
due to the rapid changes in climate and land use induced by human
activities. The loss of species threatens the provision of food,
goods and many other ecosystem services essential to the
sustainability and well-being of human society. It is therefore
important to monitor, assess and predict the loss of biodiversity
at both the species and ecosystem levels so the need for any
intervention can be determined. A major challenge to this task is a
lack of consistent and scale-independent evaluation methods. My
thesis strives to address this gap by testing some currently
available methods and proposing improved ones to assess the
endangerment status of species and the degeneration of ecosystems.
In chapter two, I derived a model to estimate the loss of species
abundance based on both the area of occupancy and spatial
autocorrelation of occupied cells. This new model performed
generally better in predictive power than an existing area-based
model. In chapter three, I tested a spatial analysis tool, called a
scalogram, for assessing the impact of disturbance on species
extinction. Scalograms describe how the value of a metric changes
with spatial scale (e.g., grain size) following some simple
relationship, such as a power-law or a simple linear equation. I
showed that it is feasible to estimate species extinction risk by
analyzing the change in landscape metrics over spatial scales. In
chapter four, I tested the hypothesis that the collapse of the
power-law patch-size distribution could signal an early warning for
ecosystem degeneration (i.e., desertification of grassland). I
found that a power-law patch-size distribution was dependent on a
species’ abundance, spatial aggregation and the spatial scale of
analysis. All three factors could cause the patch-size distribution
to deflect from the power-law model. Thus, I concluded that the
power-law model was not suitable for indicating ecosystem
degeneration. Understanding status of endangered-species and
ecosystem degeneration is profoundly important in biological
conservation. Methods developed in my thesis provide potentially
useful tools for assessing extinction risk in the real world. The
applications of these methods are expected to contribute to the
study, legislation and practice in landscape management and
biological conservation.
Subjects/Keywords: Species extinction; Ecosystem degeneration; Modelling; IUCN; BCI
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APA (6th Edition):
Ruan, X. (2016). Developing and testing methods to assess species extinction
risk and ecosystem degeneration. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/cgm80hv62q
Chicago Manual of Style (16th Edition):
Ruan, Xiaofeng. “Developing and testing methods to assess species extinction
risk and ecosystem degeneration.” 2016. Doctoral Dissertation, University of Alberta. Accessed January 24, 2021.
https://era.library.ualberta.ca/files/cgm80hv62q.
MLA Handbook (7th Edition):
Ruan, Xiaofeng. “Developing and testing methods to assess species extinction
risk and ecosystem degeneration.” 2016. Web. 24 Jan 2021.
Vancouver:
Ruan X. Developing and testing methods to assess species extinction
risk and ecosystem degeneration. [Internet] [Doctoral dissertation]. University of Alberta; 2016. [cited 2021 Jan 24].
Available from: https://era.library.ualberta.ca/files/cgm80hv62q.
Council of Science Editors:
Ruan X. Developing and testing methods to assess species extinction
risk and ecosystem degeneration. [Doctoral Dissertation]. University of Alberta; 2016. Available from: https://era.library.ualberta.ca/files/cgm80hv62q
Universidade Nova
11.
Queirós, André Ricardo Cabral.
Plataforma smartphone para biossensores de espectroscopia de infravermelho próximo.
Degree: 2014, Universidade Nova
URL: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/13868
► O tema “Plataforma smartphone para biossensores de Espectroscopia de Infravermelho Próximo”, surge no âmbito da instrumentação médica, na área das BCI – Brain Computer Interfaces,…
(more)
▼ O tema “Plataforma smartphone para biossensores de Espectroscopia de Infravermelho Próximo”, surge no âmbito da instrumentação médica, na área das
BCI – Brain Computer Interfaces, devido à necessidade de encontrar um dispositivo portátil, de custo acessível e elevada performance que permita obter informação acerca da actividade neuronal do córtex motor no decorrer duma determinada tarefa.
O objectivo do trabalho consiste no desenvolvimento duma sonda capaz de detectar as alterações hemodinâmicas que ocorrem no córtex, bem como toda a instrumentação inerente à aquisição do sinal e transmissão dos dados para um computador, a análise dos dados e por fim o desenvolvimento de uma aplicação em Android para visualização dos resultados.
Foi desenvolvida uma banda para a cabeça, composta pela sonda NIRS: LEDs (Light-Emiting Diodes) de 940nm e 660nm e os respectivos fototransístores de detecção, bem como toda a electrónica de condicionamento do sinal captado. Num módulo à parte, alimentado por duas baterias de 9V, encontram-se os circuitos electrónicos onde é possível regular ganhos de amplificação e offsets.
Os dados foram adquiridos pelo microcontrolador Arduíno Uno, usando uma taxa de amostragem de 50Hz em cada um dos dois canais utilizados. O controlo do Arduíno foi feito utilizando o LabVIEW. Para o processamento dos dados, visualização e cálculo das concentrações de oxi e desoxi-hemoglobina no sangue recorreu-se ao Matlab. O sistema foi calibrado com recurso a um oxímetro de pulso clínico usado em cinco indivíduos saudáveis.
Finalmente o sistema foi testado ao colocar-se o sensor NIRS sobre o córtex motor esquerdo de nove indivíduos saudáveis destros, fazendo-se uma aquisição de dados durante dois minutos. Utilizou-se um paradigma de 10s de repouso seguido de 10s a abrir e fechar a mão.
O sistema NIRS conseguiu medir as alterações que ocorrem nas concentrações de oxi e desoxi-hemoglobina devido à actividade motora de abrir e fechar a mão. Dado o princípio físico ser o mesmo do dos oxímetros convencionais, conseguiu-se ainda medir com sucesso a frequência cardíaca e a saturação percentual de oxigénio após a calibração do sensor. As medidas podem ser visualizadas numa aplicação desenvolvida para o Android.
Os resultados sugerem que com esta abordagem, este tipo de dispositivo pode estar disponível a baixo custo quer para doentes quer para indivíduos saudáveis, por exemplo em aplicações de telemóvel.
Advisors/Committee Members: Ferreira, Hugo, Ferreira, José.
Subjects/Keywords: NIRS; BCI; Óptodos; Smartphone; Córtex; Hemodinâmica
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APA (6th Edition):
Queirós, A. R. C. (2014). Plataforma smartphone para biossensores de espectroscopia de infravermelho próximo. (Thesis). Universidade Nova. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/13868
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Queirós, André Ricardo Cabral. “Plataforma smartphone para biossensores de espectroscopia de infravermelho próximo.” 2014. Thesis, Universidade Nova. Accessed January 24, 2021.
http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/13868.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Queirós, André Ricardo Cabral. “Plataforma smartphone para biossensores de espectroscopia de infravermelho próximo.” 2014. Web. 24 Jan 2021.
Vancouver:
Queirós ARC. Plataforma smartphone para biossensores de espectroscopia de infravermelho próximo. [Internet] [Thesis]. Universidade Nova; 2014. [cited 2021 Jan 24].
Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/13868.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Queirós ARC. Plataforma smartphone para biossensores de espectroscopia de infravermelho próximo. [Thesis]. Universidade Nova; 2014. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/13868
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
12.
Hassanpour Razavi, Seyyed Ali.
Improvement of the correlation between ALSE and BCI by adjusting the feeding and positioning conditions based on indirect measurement of termination impedances using current transformers.
Degree: 2018, Technische Universität Dortmund
URL: http://dx.doi.org/10.17877/DE290R-18898
► The most commonly used automotive immunity test methods for electrical interferences from narrowband radiated electromagnetic energy are described in ISO 11452 series. Bulk Current Injection…
(more)
▼ The most commonly used automotive immunity test methods for electrical interferences from narrowband radiated electromagnetic energy are described in ISO 11452 series. Bulk Current Injection (
BCI) and Absorber Line Shielded Enclosure (ALSE) apply different coupling mechanisms to assess the immunity of electronic components. While ALSE subjects the entire test setup to the electromagnetic fields generated by an antenna,
BCI induces the interference signals directly into a certain part of the wiring harness by a current injection probe. ALSE is often considered as the more reliable method. However, testing with
BCI is preferred as it allows performing the immunity tests in less time with less effort and cost. Despite using similar test setups, different interference currents are injected into the terminal units at each test method and therefore, the correlation between the test results is often poor. In order to improve the correlation, the
BCI
method must be modified to inject the same interference current as the ALSE method. This thesis proposes an approach that searches for these modifications and makes it possible to inject the same interference currents with a
BCI probe. The two main issues of concern are the calculation of the injected interference currents during real test scenarios in a simulation environment and, the measurement of the input impedance of terminal units under the operation condition using optimized current transformers. The developed models and measurement methods are combined to reproduce the ALSE currents with a single
BCI probe. In line with the implementation scheme: firstly, a measurement-based approach to model the ALSE and
BCI couplings to a wire-over-ground structure is developed. These models are used to determine the interference currents at the terminal units; secondly, theoretical and measurement based methods are developed to characterize current transformers. The goal is to assess the
ability of a current transformer to measure the input impedance of the terminal units without disconnecting the wiring harness; thirdly, four non-invasive methods to measure the input impedance of terminal units using optimized current transformers are proposed and experimentally validated; finally, an approach to reproduce the ALSE termination currents with a single
BCI probe according to an optimization process is developed and validated. Capabilities and limitations of the proposed methods and approaches are analyzed, discussed, and ultimately applied to a real immunity test setup.
Advisors/Committee Members: Frei, Stephan (advisor), Schulz, Dirk (referee).
Subjects/Keywords: ALSE; BCI; Immunity testing; Impedance measurement; 620
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Export
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APA (6th Edition):
Hassanpour Razavi, S. A. (2018). Improvement of the correlation between ALSE and BCI by adjusting the feeding and positioning conditions based on indirect measurement of termination impedances using current transformers. (Doctoral Dissertation). Technische Universität Dortmund. Retrieved from http://dx.doi.org/10.17877/DE290R-18898
Chicago Manual of Style (16th Edition):
Hassanpour Razavi, Seyyed Ali. “Improvement of the correlation between ALSE and BCI by adjusting the feeding and positioning conditions based on indirect measurement of termination impedances using current transformers.” 2018. Doctoral Dissertation, Technische Universität Dortmund. Accessed January 24, 2021.
http://dx.doi.org/10.17877/DE290R-18898.
MLA Handbook (7th Edition):
Hassanpour Razavi, Seyyed Ali. “Improvement of the correlation between ALSE and BCI by adjusting the feeding and positioning conditions based on indirect measurement of termination impedances using current transformers.” 2018. Web. 24 Jan 2021.
Vancouver:
Hassanpour Razavi SA. Improvement of the correlation between ALSE and BCI by adjusting the feeding and positioning conditions based on indirect measurement of termination impedances using current transformers. [Internet] [Doctoral dissertation]. Technische Universität Dortmund; 2018. [cited 2021 Jan 24].
Available from: http://dx.doi.org/10.17877/DE290R-18898.
Council of Science Editors:
Hassanpour Razavi SA. Improvement of the correlation between ALSE and BCI by adjusting the feeding and positioning conditions based on indirect measurement of termination impedances using current transformers. [Doctoral Dissertation]. Technische Universität Dortmund; 2018. Available from: http://dx.doi.org/10.17877/DE290R-18898
University of Adelaide
13.
Yang, Ruiting.
Signal processing for a brain computer interface.
Degree: 2010, University of Adelaide
URL: http://hdl.handle.net/2440/60004
► Brain computer interface (BCI) systems measure brain signal and translate it into control commands in an attempt to mimic specific human thinking activities. In recent…
(more)
▼ Brain computer interface (
BCI) systems measure brain signal and translate
it into control commands in an attempt to mimic specific human thinking
activities. In recent years, many researchers have shown their interests in
BCI
systems, which has resulted in many experiments and applications. However,
most methods are just based on a specific selected dataset or a typical
feature. As a result, there are questions about whether some methods
generalise well on other datasets. Therefore, the major motivation of this
thesis is to compare various features and classifiers described in the literature.
Pattern recognition is considered as the core part of a
BCI system in our
research. In this thesis, a number of different features and classifiers are
compared in terms of classification accuracy and computation time. The
studied features are: time series waveform, autoregressive (AR) components,
spectral components; these are used with different classifiers: such as
template matching, nearest neighbour, linear discriminant analysis (LDA),
Bayesian statistical and fuzzy logic decision classifiers.
In order to assess and compare these different features and classifiers, an
extensive investigation was carried out on a public dataset (imagined left or
right hand movement) from an international
BCI competition and the results
are reported in this thesis. The classification was done in a continuous fashion,
to match a real time application. In this process, the average and best
accuracy, as well as the computation time, were analysed and compared. The
results showed that most classifiers achieved very high accuracies and short
computation times for most features.
A
BCI experiment based on imagined left or right hand movement was
carried out at the University of Adelaide and some investigations on the data
from this experiment are discussed. The result shows that the selected
classifiers can work well with this new dataset without much additional
preprocessing or modifications.
Finally, this thesis culminates with some conclusions based on our
research, and discusses some further potential work.
Advisors/Committee Members: Gray, Douglas Andrew (advisor), Ng, Brian Wai-Him (advisor), He, Mingyi (advisor), School of Electrical and Electronic Engineering (school).
Subjects/Keywords: Brain computer interface; BCI; EEG; Classifier
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CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Yang, R. (2010). Signal processing for a brain computer interface. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/60004
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Yang, Ruiting. “Signal processing for a brain computer interface.” 2010. Thesis, University of Adelaide. Accessed January 24, 2021.
http://hdl.handle.net/2440/60004.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Yang, Ruiting. “Signal processing for a brain computer interface.” 2010. Web. 24 Jan 2021.
Vancouver:
Yang R. Signal processing for a brain computer interface. [Internet] [Thesis]. University of Adelaide; 2010. [cited 2021 Jan 24].
Available from: http://hdl.handle.net/2440/60004.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Yang R. Signal processing for a brain computer interface. [Thesis]. University of Adelaide; 2010. Available from: http://hdl.handle.net/2440/60004
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Plymouth
14.
Eaton, Joel.
Brain-computer music interfacing : designing practical systems for creative applications.
Degree: PhD, 2016, University of Plymouth
URL: http://hdl.handle.net/10026.1/5221
► Brain-computer music interfacing (BCMI) presents a novel approach to music making, as it requires only the brainwaves of a user to control musical parameters. This…
(more)
▼ Brain-computer music interfacing (BCMI) presents a novel approach to music making, as it requires only the brainwaves of a user to control musical parameters. This presents immediate benefits for users with motor disabilities that may otherwise prevent them from engaging in traditional musical activities such as composition, performance or collaboration with other musicians. BCMI systems with active control, where a user can make cognitive choices that are detected within brain signals, provide a platform for developing new approaches towards accomplishing these activities. BCMI systems that use passive control present an interesting alternate to active control, where control over music is accomplished by harnessing brainwave patterns that are associated with subconscious mental states. Recent developments in brainwave measuring technologies, in particular electroencephalography (EEG), have made brainwave interaction with computer systems more affordable and accessible and the time is ripe for research into the potential such technologies can offer for creative applications for users of all abilities. This thesis presents an account of BCMI development that investigates methods of active, passive and hybrid (multiple control methods) control that include control over electronic music, acoustic instrumental music, multi-brain systems and combining methods of brainwave control. In practice there are many obstacles associated with detecting useful brainwave signals, in particular when scaling systems otherwise designed for medical studies for use outside of laboratory settings. Two key areas are addressed throughout this thesis. Firstly, improving the accuracy of meaningful brain signal detection in BCMI, and secondly, exploring the creativity available in user control through ways in which brainwaves can be mapped to musical features. Six BCMIs are presented in this thesis, each with the objective of exploring a unique aspect of user control. Four of these systems are designed for live BCMI concert performance, one evaluates a proof-of-concept through end-user testing and one is designed as a musical composition tool. The thesis begins by exploring the field of brainwave detection and control and identifies the steady-state visually evoked potential (SSVEP) method of eliciting brainwave control as a suitable technique for use in BCMI. In an attempt to improve signal accuracy of the SSVEP technique a new modular hardware unit is presented that provides accurate SSVEP stimuli, suitable for live music performance. Experimental data confirms the performance of the unit in tests across three different EEG hardware platforms. Results across 11 users indicate that a mean accuracy of 96% and an average response time of 3.88 seconds are attainable with the system. These results contribute to the development of the BCMI for Activating Memory, a multi-user system. Once a stable SSVEP platform is developed, control is extended through the integration of two more brainwave control techniques: affective (emotional) state detection…
Subjects/Keywords: 004.01; BCI; Brain-computer music interfacing
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APA (6th Edition):
Eaton, J. (2016). Brain-computer music interfacing : designing practical systems for creative applications. (Doctoral Dissertation). University of Plymouth. Retrieved from http://hdl.handle.net/10026.1/5221
Chicago Manual of Style (16th Edition):
Eaton, Joel. “Brain-computer music interfacing : designing practical systems for creative applications.” 2016. Doctoral Dissertation, University of Plymouth. Accessed January 24, 2021.
http://hdl.handle.net/10026.1/5221.
MLA Handbook (7th Edition):
Eaton, Joel. “Brain-computer music interfacing : designing practical systems for creative applications.” 2016. Web. 24 Jan 2021.
Vancouver:
Eaton J. Brain-computer music interfacing : designing practical systems for creative applications. [Internet] [Doctoral dissertation]. University of Plymouth; 2016. [cited 2021 Jan 24].
Available from: http://hdl.handle.net/10026.1/5221.
Council of Science Editors:
Eaton J. Brain-computer music interfacing : designing practical systems for creative applications. [Doctoral Dissertation]. University of Plymouth; 2016. Available from: http://hdl.handle.net/10026.1/5221
Delft University of Technology
15.
Vardalakis, Nikolaos (author).
Separating individual finger activity when performing force tasks using EEG source localization methods.
Degree: 2020, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:1baaafe7-6ba9-4aec-bc69-b7cdc7cc739b
► Electroencephalography (EEG) source localization has been applied in the development of braincomputer interfaces to control hand prostheses. When performing fine movements, our brain uses sensory…
(more)
▼ Electroencephalography (EEG) source localization has been applied in the development of braincomputer interfaces to control hand prostheses. When performing fine movements, our brain uses sensory feedback regarding position, velocity, and force to improve performance. Understanding the cortical mechanisms underlying individual finger movements can lead to a higher number of degrees of freedom (DoF) when developing
BCI-controlled hand prostheses. Our goal was to test the efficacy of separating the activity of two individual fingers during a pinch-and-hold motor task using EEG source localization. EEG data from three healthy participants performing the motor task using different fingers were collected and analyzed using two parametric and two non-parametric source localization methods. A statistical analysis was performed on the source space to test whether it is possible to distinguish between the two fingers. We were able to measure the cortical response to the perturbations on the channel level during the hold phase of the motor task. However, source power in the primary motor (M1) and somatosensory (S1) cortices was low for all conditions. The most active sources were found in the frontal cortex over Brodmann area 8. A cluster-based permutation test performed on the source space results did not reveal differences between the two fingers on the cortical area. Statistically significant (p < 0:05) source differences are reported in one case, however, the locations of the sources indicate this effect is irrelevant to the motor task. Our findings indicate that there are no measurable source-level differences regarding the motor activity of individual fingers during the hold phase of the motor task, independently of the source localization method used.
Advisors/Committee Members: Schouten, Alfred (mentor), Geelen, Jinne (graduation committee), Delft University of Technology (degree granting institution).
Subjects/Keywords: Source localization; Motor control; BCI; EEG; FieldTrip
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APA (6th Edition):
Vardalakis, N. (. (2020). Separating individual finger activity when performing force tasks using EEG source localization methods. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:1baaafe7-6ba9-4aec-bc69-b7cdc7cc739b
Chicago Manual of Style (16th Edition):
Vardalakis, Nikolaos (author). “Separating individual finger activity when performing force tasks using EEG source localization methods.” 2020. Masters Thesis, Delft University of Technology. Accessed January 24, 2021.
http://resolver.tudelft.nl/uuid:1baaafe7-6ba9-4aec-bc69-b7cdc7cc739b.
MLA Handbook (7th Edition):
Vardalakis, Nikolaos (author). “Separating individual finger activity when performing force tasks using EEG source localization methods.” 2020. Web. 24 Jan 2021.
Vancouver:
Vardalakis N(. Separating individual finger activity when performing force tasks using EEG source localization methods. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 Jan 24].
Available from: http://resolver.tudelft.nl/uuid:1baaafe7-6ba9-4aec-bc69-b7cdc7cc739b.
Council of Science Editors:
Vardalakis N(. Separating individual finger activity when performing force tasks using EEG source localization methods. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:1baaafe7-6ba9-4aec-bc69-b7cdc7cc739b
16.
Teng, Fei.
An SSVEP Brain-Computer Interface: A Machine Learning Approach.
Degree: PhD, Computer and Information Science, 2012, University of Mississippi
URL: https://egrove.olemiss.edu/etd/1374
► A Brain-Computer Interface (BCI) provides a bidirectional communication path for a human to control an external device using brain signals. Among neurophysiological features in…
(more)
▼ A Brain-Computer Interface (
BCI) provides a bidirectional communication path for a human to control an external device using brain signals. Among neurophysiological features in
BCI systems, steady state visually evoked potentials (SSVEP), natural responses to visual stimulation at specific frequencies, has increasingly drawn attentions because of its high temporal resolution and minimal user training, which are two important parameters in evaluating a
BCI system. The performance of a
BCI can be improved by a properly selected neurophysiological signal, or by the introduction of machine learning techniques. With the help of machine learning methods, a
BCI system can adapt to the user automatically. In this work, a machine learning approach is introduced to the design of an SSVEP based
BCI. The following open problems have been explored: 1. Finding a waveform with high success rate of eliciting SSVEP. SSVEP belongs to the evoked potentials, which require stimulations. By comparing square wave, triangle wave and sine wave light signals and their corresponding SSVEP, it was observed that square waves with 50% duty cycle have a significantly higher success rate of eliciting SSVEPs than either sine or triangle stimuli. 2. The resolution of dual stimuli that elicits consistent SSVEP. Previous studies show that the frequency bandwidth of an SSVEP stimulus is limited. Hence it affects the performance of the whole system. A dual-stimulus, the overlay of two distinctive single frequency stimuli, can potentially expand the number of valid SSVEP stimuli. However, the improvement depends on the resolution of the dual stimuli. Our experimental results showed that 4 Hz is the minimum difference between two frequencies in a dual-stimulus that elicits consistent SSVEP. 3. Stimuli and color-space decomposition. It is known in the literature that although low-frequency stimuli (<30 Hz) elicit strong SSVEP, they may cause dizziness. In this work, we explored the design of a visually friendly stimulus from the perspective of color-space decomposition. In particular, a stimulus was designed with a fixed luminance component and variations in the other two dimensions in the HSL (Hue, Saturation, Luminance) color-space. Our results showed that the change of color alone evokes SSVEP, and the embedded frequencies in stimuli affect the harmonics. Also, subjects claimed that a fixed luminance eases the feeling of dizziness caused by low frequency flashing objects. 4. Machine learning techniques have been applied to make a
BCI adaptive to individuals. An SSVEP-based
BCI brings new requirements to machine learning. Because of the non-stationarity of the brain signal, a classifier should adapt to the time-varying statistical characters of a single user's brain wave in realtime. In this work, the potential function classifier is proposed to address this requirement, and achieves 38.2bits/min on offline EEG data.
Advisors/Committee Members: Yixin Chen, Scott A. Gustafson, Dwight Waddell.
Subjects/Keywords: BCI; Machine Learning; SSVEP; Computer Sciences
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APA (6th Edition):
Teng, F. (2012). An SSVEP Brain-Computer Interface: A Machine Learning Approach. (Doctoral Dissertation). University of Mississippi. Retrieved from https://egrove.olemiss.edu/etd/1374
Chicago Manual of Style (16th Edition):
Teng, Fei. “An SSVEP Brain-Computer Interface: A Machine Learning Approach.” 2012. Doctoral Dissertation, University of Mississippi. Accessed January 24, 2021.
https://egrove.olemiss.edu/etd/1374.
MLA Handbook (7th Edition):
Teng, Fei. “An SSVEP Brain-Computer Interface: A Machine Learning Approach.” 2012. Web. 24 Jan 2021.
Vancouver:
Teng F. An SSVEP Brain-Computer Interface: A Machine Learning Approach. [Internet] [Doctoral dissertation]. University of Mississippi; 2012. [cited 2021 Jan 24].
Available from: https://egrove.olemiss.edu/etd/1374.
Council of Science Editors:
Teng F. An SSVEP Brain-Computer Interface: A Machine Learning Approach. [Doctoral Dissertation]. University of Mississippi; 2012. Available from: https://egrove.olemiss.edu/etd/1374
University of Melbourne
17.
Yoo, Peter Eli.
Feasibility of 7T-fMRI pre-surgical diagnostic tool for brain-computer-interfaces.
Degree: 2018, University of Melbourne
URL: http://hdl.handle.net/11343/212729
► Cutting-edge assistive devices can restore significant independence to people with motor deficits. However, operating the devices requires residual muscle function, causing them to be inaccessible…
(more)
▼ Cutting-edge assistive devices can restore significant independence to people with motor deficits. However, operating the devices requires residual muscle function, causing them to be inaccessible by paralysed individuals who make up a substantial proportion of the motor deficit population. Brain-Computer-Interface (BCI) is a rapidly growing field of technology that could bridge the gap between paralysis and the cutting-edge assistive devices by allowing the users direct brain-control of computers and machines. However, current restorative-BCIs for complex motor functions require surgeries to implant the electrical sensors (electrode arrays) for neural signal recording, exposing serious health risks to the users. Therefore, it would be ideal to maximise the efficacy of BCIs by pre- surgically identifying the ideal locations of electrode array implantation at the individual- level.
Currently, clinical functional magnetic resonance imaging (fMRI) has been used to perform rudimentary pre-surgical planning by identifying regions of blood-oxygenation-level- dependent (BOLD) activations, while the participants perform the mental strategy that may be used to control BCIs. However, the spatial specificity of the BOLD activations to the underlying neural activity and the sensitivity to detect the BOLD activations in clinical fMRI are known to be poor, reducing the reliability of the data for pre-surgical use. On the other hand, the BOLD sensitivity and specificity are improved with fMRI at 7 Tesla (7T-fMRI) compared to clinical fMRI, potentially allowing for quantification of BOLD activations in higher spatiotemporal resolution with increased robustness and localisability.
This body of work demonstrates, for the first time, the feasibility of utilising high spatiotemporal resolution 7T-fMRI as a pre-surgical diagnostic tool for BCIs. Prominent issues regarding exploiting the benefits of the ultra-high magnetic field strength of 7T-MRI scanners for functional imaging were addressed, determining the optimal acquisition parameters for targeted imaging of the cortical motor network at the highest spatiotemporal resolution possible. Then, novel image processing pipelines were developed for optimally analysing targeted high spatiotemporal resolution 7T-fMRI data. With the methods optimised and developed above, it was revealed for the first time, how different regions of the diffuse dorsal motor network work together to plan and execute specific lower-limb movements. Finally, the feasibility of using high spatiotemporal resolution targeted 7T-fMRI as a pre-surgical BCI diagnostic tool was demonstrated. A workflow was developed that could localise which specific combination of sub-regions across the dorsal motor network process the most characteristic information for classifying mental strategies based on the BOLD states at the individual-level.
The 7T-fMRI pre-surgical diagnostic tool for BCIs may be utilised to identify the ideal electrode implantation sites and potentially estimate the suitability of BCIs for a given…
Subjects/Keywords: fMRI; MRI; 7T; BCI; UHF; motor
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APA (6th Edition):
Yoo, P. E. (2018). Feasibility of 7T-fMRI pre-surgical diagnostic tool for brain-computer-interfaces. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/212729
Chicago Manual of Style (16th Edition):
Yoo, Peter Eli. “Feasibility of 7T-fMRI pre-surgical diagnostic tool for brain-computer-interfaces.” 2018. Doctoral Dissertation, University of Melbourne. Accessed January 24, 2021.
http://hdl.handle.net/11343/212729.
MLA Handbook (7th Edition):
Yoo, Peter Eli. “Feasibility of 7T-fMRI pre-surgical diagnostic tool for brain-computer-interfaces.” 2018. Web. 24 Jan 2021.
Vancouver:
Yoo PE. Feasibility of 7T-fMRI pre-surgical diagnostic tool for brain-computer-interfaces. [Internet] [Doctoral dissertation]. University of Melbourne; 2018. [cited 2021 Jan 24].
Available from: http://hdl.handle.net/11343/212729.
Council of Science Editors:
Yoo PE. Feasibility of 7T-fMRI pre-surgical diagnostic tool for brain-computer-interfaces. [Doctoral Dissertation]. University of Melbourne; 2018. Available from: http://hdl.handle.net/11343/212729
California State University – Northridge
18.
Van Leeuwen, Travis.
Development of a Hybrid BCI Controller for a Semi-Autonomous Wheelchair.
Degree: MS, Mechanical Engineering, 2019, California State University – Northridge
URL: http://hdl.handle.net/10211.3/212971
► Smart wheelchairs with semi or fully autonomous functions, can greatly improve the mobility of persons with physical impairments. However, most are controlled using inputs that…
(more)
▼ Smart wheelchairs with semi or fully autonomous functions, can greatly improve the mobility of persons with physical impairments. However, most are controlled using inputs that require physical manipulation (e.g. joystick controllers) and for persons with severe physical impairments this method of control can be too demanding. A noninvasive brain-computer interface (
BCI) technology-based controller could bridge the gap between smart wheelchairs and physically impaired persons with severe conditions. Current
BCI-controlled wheelchairs rely on detecting steady-state visually evoked potential (SSVEP) responses as these typically have the greatest data transfer rate. However, this method requires the user to focus on a screen for an extended period of time. This causes strain on the user and takes their attention away from their surroundings, which could be dangerous in a scenario that requires navigation around multiple moving objects. The main goal of this project is to design a hybrid
BCI controller using an electroencephalogram (EEG) headset to detect hand motor imagery (MI) and jaw electromyography (EMG) signals to control a smart wheelchair in conjunction with its semi-autonomous capabilities. A controller of this kind is well-known to have low data transfer rates, and therefore has lower accuracy and longer response times as compared to other controllers. However, a properly structured controller hierarchy between the
BCI controller and semi-autonomous system is developed to compensate the limitations of the controller's accuracy. OpenViBE, an open source
BCI programming application, and a commercial grade EEG headset are used for data acquisition. A multiple common spatial pattern (CSP) filter and linear discriminant analysis (LDA) classifier system are chosen to process and classify the user's brain activity. Users are trained to use the system and classifier profiles are optimized for each user. Two subjects are trained to use the
BCI system and the results of their practice are analyzed for this study. The average classifier accuracy for
Subject 1 is 0.87 and the average classifier accuracy for
Subject 2 is 0.83. Next, a fuzzy logic controller (FLC) controller is created in LabVIEW to convert the classifier data to a signal that is compatible with the semi-autonomous wheelchair system. The performance of the controller scheme is evaluated using the OpenViBE "Replay" script and recorded training data. Positive, negative, and false positive executions are recorded for each
subject. Initially, positive rates for both subjects were strong, but false positive rates were too high to be used. The design is iterated by changing the configuration of the LabVIEW script and the rules of the FLC. The configuration with the best positive rates for turn executions is chosen. The average positive rate for turning is 0.68 for
Subject 1 and 0.64 for
Subject 2. The positive rate for executing the start/stop function, however, was only able to achieve 0.50 for
Subject 1 and 0.38 for
Subject 2. False positive rates, however,…
Advisors/Committee Members: Nandikolla, Vidya (advisor), Khachatourians, Aram (committee member).
Subjects/Keywords: BCI; Dissertations, Academic – CSUN – Engineering – Mechanical.
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APA (6th Edition):
Van Leeuwen, T. (2019). Development of a Hybrid BCI Controller for a Semi-Autonomous Wheelchair. (Masters Thesis). California State University – Northridge. Retrieved from http://hdl.handle.net/10211.3/212971
Chicago Manual of Style (16th Edition):
Van Leeuwen, Travis. “Development of a Hybrid BCI Controller for a Semi-Autonomous Wheelchair.” 2019. Masters Thesis, California State University – Northridge. Accessed January 24, 2021.
http://hdl.handle.net/10211.3/212971.
MLA Handbook (7th Edition):
Van Leeuwen, Travis. “Development of a Hybrid BCI Controller for a Semi-Autonomous Wheelchair.” 2019. Web. 24 Jan 2021.
Vancouver:
Van Leeuwen T. Development of a Hybrid BCI Controller for a Semi-Autonomous Wheelchair. [Internet] [Masters thesis]. California State University – Northridge; 2019. [cited 2021 Jan 24].
Available from: http://hdl.handle.net/10211.3/212971.
Council of Science Editors:
Van Leeuwen T. Development of a Hybrid BCI Controller for a Semi-Autonomous Wheelchair. [Masters Thesis]. California State University – Northridge; 2019. Available from: http://hdl.handle.net/10211.3/212971
Wright State University
19.
Cooper, Jehangir.
Exploring the potential for independent control with the
NIA/Brainfingers system - is independent control of glance, muscle,
alpha and beta waves possible?.
Degree: MS, Human Factors and Industrial/Organizational Psychology
MS, 2011, Wright State University
URL: http://rave.ohiolink.edu/etdc/view?acc_num=wright1300812991
► BCI (Brain-Computer-Interface) devices on the market today, such as the NIA, have the capability to assign computer commands to specific channels (e.g., EMG, EOG, Alpha,…
(more)
▼ BCI (Brain-Computer-Interface) devices on the market
today, such as the NIA, have the capability to assign computer
commands to specific channels (e.g., EMG, EOG, Alpha, and Beta)
associated with different methods of control. However, the utility
of this capability is dependent on the ability of users to
selectively/independently control the specific channels. The NIA
system was evaluated to determine if independent control of its
channels is possible. Two users with varying levels of experience
were used in this study. The users played pong using each of the
channels to control the pong paddle, while the data on the
activation levels of all the channels was recorded. Cross
correlation analyses were conducted in order to ascertain the level
of independence of the channels. In general, the channels seemed to
exhibit independent behavior, although evidence suggested
associations between the muscle and beta channels. More research is
needed in order to explore more fully the levels of independence in
the channels.
Advisors/Committee Members: Flach, John (Committee Chair).
Subjects/Keywords: Psychology; Brainfingers; NIA; BCI; cross-correlation
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APA (6th Edition):
Cooper, J. (2011). Exploring the potential for independent control with the
NIA/Brainfingers system - is independent control of glance, muscle,
alpha and beta waves possible?. (Masters Thesis). Wright State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=wright1300812991
Chicago Manual of Style (16th Edition):
Cooper, Jehangir. “Exploring the potential for independent control with the
NIA/Brainfingers system - is independent control of glance, muscle,
alpha and beta waves possible?.” 2011. Masters Thesis, Wright State University. Accessed January 24, 2021.
http://rave.ohiolink.edu/etdc/view?acc_num=wright1300812991.
MLA Handbook (7th Edition):
Cooper, Jehangir. “Exploring the potential for independent control with the
NIA/Brainfingers system - is independent control of glance, muscle,
alpha and beta waves possible?.” 2011. Web. 24 Jan 2021.
Vancouver:
Cooper J. Exploring the potential for independent control with the
NIA/Brainfingers system - is independent control of glance, muscle,
alpha and beta waves possible?. [Internet] [Masters thesis]. Wright State University; 2011. [cited 2021 Jan 24].
Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1300812991.
Council of Science Editors:
Cooper J. Exploring the potential for independent control with the
NIA/Brainfingers system - is independent control of glance, muscle,
alpha and beta waves possible?. [Masters Thesis]. Wright State University; 2011. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1300812991
Delft University of Technology
20.
Wolters, Eric (author).
The design and modelling of spelling paradigms for assistive devices using binary control signals.
Degree: 2020, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:b9c3237d-fa59-4d75-abfe-f98d39799ad8
► Patients suffering from diseases affecting verbal communication can make use of assistive devices to improve communication. Some severely disabled patients can only produce yes-or-no responses…
(more)
▼ Patients suffering from diseases affecting verbal communication can make use of assistive devices to improve communication. Some severely disabled patients can only produce yes-or-no responses to communicate. These responses can be created through a physical switch, eye blink, or a 'mental' click created by brain activity. The yes-or-no responses can be used to communicate by making multiple selections between two groups of letters. Through deduction paradigms the target letter can be determined. Current assistive devices use a Row Column or Huffman paradigm to communicate. Communication rates achieved with these paradigms are slow compared to regular conversation rates and to assistive devices using eye-tracking. Furthermore, these deduction paradigms have only been tested in assistive devices with no or little noise. Noise affects the yes-or-no responses and leads to the selection of incorrect letters. There are assistive devices that suffer from high noise levels which affect communication rates. This work evaluates four communication paradigms for a range of noise conditions to improve communication rates. Row Column, Huffman, and two novel paradigms are evaluated. The two novel paradigms, based on Variable-Length Error-Correcting code and Weighted Huffman encoding, are designed for environments with noise. Evaluation of these paradigms is done through simulation and human experiments. A mathematical model is developed for simulation, and an emulator emulating an assistive device is used for human experiments. Spelling speed and cognitive effort are used as performance measures. The simulations were shown to be useful as a tool for predicting the relative performance of the paradigms in real use situations. Results from the simulation and experiments found that the effect of noise is paradigm dependent and should be taken into consideration. A novel paradigm was shown to be optimal for selective noise conditions. Row Column scanning scored the best on cognitive effort, while Huffman encoding resulted in the fastest typing speed in almost all noise conditions. Through emulation and simulation, Huffman encoding is validated as the optimal paradigm to increase communication rates. The mathematical model set a basis on which more research into optimal communication paradigms for discrete control assistive devices can be conducted.
Advisors/Committee Members: van der Helm, Frans (mentor), Geelen, Jinne (graduation committee), Jellema, Anton (graduation committee), Desain, Peter (graduation committee), Freudenburg, Zachary (graduation committee), Delft University of Technology (degree granting institution).
Subjects/Keywords: BCI; Assistive technology; binary codes; Communication design
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APA (6th Edition):
Wolters, E. (. (2020). The design and modelling of spelling paradigms for assistive devices using binary control signals. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:b9c3237d-fa59-4d75-abfe-f98d39799ad8
Chicago Manual of Style (16th Edition):
Wolters, Eric (author). “The design and modelling of spelling paradigms for assistive devices using binary control signals.” 2020. Masters Thesis, Delft University of Technology. Accessed January 24, 2021.
http://resolver.tudelft.nl/uuid:b9c3237d-fa59-4d75-abfe-f98d39799ad8.
MLA Handbook (7th Edition):
Wolters, Eric (author). “The design and modelling of spelling paradigms for assistive devices using binary control signals.” 2020. Web. 24 Jan 2021.
Vancouver:
Wolters E(. The design and modelling of spelling paradigms for assistive devices using binary control signals. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 Jan 24].
Available from: http://resolver.tudelft.nl/uuid:b9c3237d-fa59-4d75-abfe-f98d39799ad8.
Council of Science Editors:
Wolters E(. The design and modelling of spelling paradigms for assistive devices using binary control signals. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:b9c3237d-fa59-4d75-abfe-f98d39799ad8
21.
Haider, Md. Ali.
Electroencephalogram Signal Processing For Hybrid Brain Computer Interface Systems.
Degree: PhD, Electrical Engineering, 2018, University of North Dakota
URL: https://commons.und.edu/theses/2225
► The goal of this research was to evaluate and compare three types of brain computer interface (BCI) systems, P300, steady state visually evoked potentials…
(more)
▼ The goal of this research was to evaluate and compare three types of brain computer interface (
BCI) systems, P300, steady state visually evoked potentials (SSVEP) and Hybrid as virtual spelling paradigms. Hybrid
BCI is an innovative approach to combine the P300 and SSVEP. However, it is challenging to process the resulting hybrid signals to extract both information simultaneously and effectively. The major step executed toward the advancement to modern
BCI system was to move the
BCI techniques from traditional LED system to electronic LCD monitor. Such a transition allows not only to develop the graphics of interest but also to generate objects flickering at different frequencies. There were pilot experiments performed for designing and tuning the parameters of the spelling paradigms including peak detection for different range of frequencies of SSVEP
BCI, placement of objects on LCD monitor, design of the spelling keyboard, and window time for the SSVEP peak detection processing. All the experiments were devised to evaluate the performance in terms of the spelling accuracy, region error, and adjacency error among all of the paradigms: P300, SSVEP and Hybrid. Due to the different nature of P300 and SSVEP, designing a hybrid P300-SSVEP signal processing scheme demands significant amount of research work in this area. Eventually, two critical questions in hybrid BCl are: (1) which signal processing strategy can best measure the user's intent and (2) what a suitable paradigm is to fuse these two techniques in a simple but effective way. In order to answer these questions, this project focused mainly on developing signal processing and classification technique for hybrid
BCI. Hybrid
BCI was implemented by extracting the specific information from brain signals, selecting optimum features which contain maximum discrimination information about the speller characters of our interest and by efficiently classifying the hybrid signals. The designed spellers were developed with the aim to improve quality of life of patients with disability by utilizing visually controlled
BCI paradigms. The paradigms consist of electrodes to record electroencephalogram signal (EEG) during stimulation, a software to analyze the collected data, and a computing device where the subject’s EEG is the input to estimate the spelled character. Signal processing phase included preliminary tasks as preprocessing, feature extraction, and feature selection. Captured EEG data are usually a superposition of the signals of interest with other unwanted signals from muscles, and from non-biological artifacts. The accuracy of each trial and average accuracy for subjects were computed. Overall, the average accuracy of the P300 and SSVEP spelling paradigm was 84% and 68.5 %. P300 spelling paradigms have better accuracy than both the SSVEP and hybrid paradigm. Hybrid paradigm has the average accuracy of 79 %. However, hybrid system is faster in time and more soothing to look than other paradigms. This work is significant because it has great potential for…
Advisors/Committee Members: Reza Fazel-Rezai.
Subjects/Keywords: BCI Paradigm; Brain Computer Interface; Hybrid BCI; Region Based; Signal Processing; SSVEP
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APA (6th Edition):
Haider, M. A. (2018). Electroencephalogram Signal Processing For Hybrid Brain Computer Interface Systems. (Doctoral Dissertation). University of North Dakota. Retrieved from https://commons.und.edu/theses/2225
Chicago Manual of Style (16th Edition):
Haider, Md Ali. “Electroencephalogram Signal Processing For Hybrid Brain Computer Interface Systems.” 2018. Doctoral Dissertation, University of North Dakota. Accessed January 24, 2021.
https://commons.und.edu/theses/2225.
MLA Handbook (7th Edition):
Haider, Md Ali. “Electroencephalogram Signal Processing For Hybrid Brain Computer Interface Systems.” 2018. Web. 24 Jan 2021.
Vancouver:
Haider MA. Electroencephalogram Signal Processing For Hybrid Brain Computer Interface Systems. [Internet] [Doctoral dissertation]. University of North Dakota; 2018. [cited 2021 Jan 24].
Available from: https://commons.und.edu/theses/2225.
Council of Science Editors:
Haider MA. Electroencephalogram Signal Processing For Hybrid Brain Computer Interface Systems. [Doctoral Dissertation]. University of North Dakota; 2018. Available from: https://commons.und.edu/theses/2225
Université Montpellier II
22.
Gergondet, Pierre.
Commande d’humanoïdes robotiques ou avatars à partir d’interface cerveau-ordinateur : Humanoids robots' and virtual avatars' control through brain-computer interface.
Degree: Docteur es, Systèmes automatiques et microélectroniques, 2014, Université Montpellier II
URL: http://www.theses.fr/2014MON20134
► Cette thèse s'inscrit dans le cadre du projet Européen intégré VERE (Virtual Embodiement and Robotics re-Embodiement). Il s'agit de proposer une architecture logicielle intégrant un…
(more)
▼ Cette thèse s'inscrit dans le cadre du projet Européen intégré VERE (Virtual Embodiement and Robotics re-Embodiement). Il s'agit de proposer une architecture logicielle intégrant un ensemble de stratégies de contrôle et de retours informationnels basés sur la "fonction tâche" pour incorporer (embodiment) un opérateur humain dans un humanoïde robotique ou un avatar notamment par la pensée. Les problèmes sous-jacents peuvent se révéler par le démonstrateur suivant (auquel on souhaite aboutir à l'issue de cette thèse). Imaginons un opérateur doté d'une interface cerveau-ordinateur ; le but est d'arriver à extraire de ces signaux la pensée de l'opérateur humain, de la traduire en commandes robotique et de faire un retour sensoriel afin que l'opérateur s'approprie le "corps" robotique ou virtuel de son "avatar". Une illustration cinématographique de cet objectif est le film récent "Avatar" ou encore "Surrogates". Dans cette thèse, on s'intéressera tout d'abord à certains problèmes que l'on a rencontré en travaillant sur l'utilisation des interfaces cerveau-ordinateur pour le contrôle de robots ou d'avatars, par exemple, la nécessité de multiplier les comportements ou les particularités liées aux retours sensoriels du robot. Dans un second temps, nous aborderons le cœur de notre contribution en introduisant le concept d'interface cerveau-ordinateur orienté objet pour le contrôle de robots humanoïdes. Nous présenterons ensuite les résultats d'une étude concernant le rôle du son dans le processus d'embodiment. Enfin, nous montrerons les premières expériences concernant le contrôle d'un robot humanoïde en interface cerveau-ordinateur utilisant l'électrocorticographie, une technologie d'acquisition des signaux cérébraux implantée dans la boîte crânienne.
This thesis is part of the European project VERE (Virtual Embodiment and Robotics re-Embodiment). The goal is to propose a software framework integrating a set of control strategies and information feedback based on the "task function" in order to embody a human operator within a humanoid robot or a virtual avatar using his thoughts. The underlying problems can be shown by considering the following demonstrator. Let us imagine an operator equipped with a brain-computer interface; the goal is to extract the though of the human operator from these signals, then translate it into robotic commands and finally to give an appropriate sensory feedback to the operator so that he can appropriate the "body", robotic or virtual, of his avatar. A cinematographic illustration of this objective can be seen in recent movies such as "Avatar" or "Surrogates". In this thesis, we start by discussing specific problems that we encountered while using a brain-computer interface for the control of robots or avatars, e.g. the arising need for multiple behaviours or the specific problems induced by the sensory feedback provided by the robot. We will then introduce our main contribution which is the concept of object-oriented brain-computer interface for the control of humanoid robot. We will then…
Advisors/Committee Members: Kheddar, Abderrahmane (thesis director).
Subjects/Keywords: Interface cerveau-Ordinateur; Robot humanoïde; Avatar virtuel; Contrôle; Bci; Brain-Computer interface; Humanoid robot; Virtual avatar; Control; Bci
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APA (6th Edition):
Gergondet, P. (2014). Commande d’humanoïdes robotiques ou avatars à partir d’interface cerveau-ordinateur : Humanoids robots' and virtual avatars' control through brain-computer interface. (Doctoral Dissertation). Université Montpellier II. Retrieved from http://www.theses.fr/2014MON20134
Chicago Manual of Style (16th Edition):
Gergondet, Pierre. “Commande d’humanoïdes robotiques ou avatars à partir d’interface cerveau-ordinateur : Humanoids robots' and virtual avatars' control through brain-computer interface.” 2014. Doctoral Dissertation, Université Montpellier II. Accessed January 24, 2021.
http://www.theses.fr/2014MON20134.
MLA Handbook (7th Edition):
Gergondet, Pierre. “Commande d’humanoïdes robotiques ou avatars à partir d’interface cerveau-ordinateur : Humanoids robots' and virtual avatars' control through brain-computer interface.” 2014. Web. 24 Jan 2021.
Vancouver:
Gergondet P. Commande d’humanoïdes robotiques ou avatars à partir d’interface cerveau-ordinateur : Humanoids robots' and virtual avatars' control through brain-computer interface. [Internet] [Doctoral dissertation]. Université Montpellier II; 2014. [cited 2021 Jan 24].
Available from: http://www.theses.fr/2014MON20134.
Council of Science Editors:
Gergondet P. Commande d’humanoïdes robotiques ou avatars à partir d’interface cerveau-ordinateur : Humanoids robots' and virtual avatars' control through brain-computer interface. [Doctoral Dissertation]. Université Montpellier II; 2014. Available from: http://www.theses.fr/2014MON20134
Tokyo Institute of Technology / 東京工業大学
23.
Wilaiprasi, Theerawit.
A Study on Visual Stimulus Increasing Event-Related Potentials and Computer Interfaces Using EEG : 誘発電位を増加させる視覚刺激と脳波を用いたコンピュータインタフェースに関する研究; A Study on Visual Stimulus Increasing Event-Related Potentials and Computer Interfaces Using EEG.
Degree: 博士(工学), 2017, Tokyo Institute of Technology / 東京工業大学
URL: http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100736172
► Brain – computer interfaces (BCIs) have been actively researched for over two decades. One of the primary goals is to create a non-muscular communication channel for…
(more)
▼ Brain – computer interfaces (BCIs) have been actively researched for over two decades. One of the primary goals is to create a non-muscular communication channel for locked-in patients. Electroencephalography (EEG) is a non-invasive technique that is commonly used in BCI measurement systems. Even though BCIs have a long history, their performance is still limited by the low signal-to noise ratio of EEG. A state-of-the-art BCI application is P300-based BCI. P300 refers to a major event-related potential (ERP) component that peaks around 300 ms after visual stimulus. P300 is an electroencephalographic correlate of target recognition in decision-making tasks. The P300 is used in several brain-computer interfaces (BCIs) as a non-motor signal of decisions, such as letter choice in the P300-Speller utility. Accuracy in choice specification depends on the difference in P300 amplitude evoked by target versus non-target stimuli. In this study, I describe visual stimulus factors, color, motion-modulated, complexity-modulated and orientation-modulated, all of which enhance the difference in P300 magnitude between target and non-target stimuli for P300-based BCIs. Stimulus arrays incorporating these visual factors may be used for the design of improved P300-based BCIs with greater choice accuracy and speed.To demonstrate advantage of research findings from visual factor studies, I report the development of a personal identification number (PIN) application using a P300-based BCI. I focus on visual stimulation design for increasing the evoked potential in the brain. Single-channel electroencephalography and a computationally inexpensive algorithm are used for P300 detection. Experimental results showed that my proposed stimulus induces higher P300 amplitude than does a conventional stimulus. For a performance evaluation, I compare two versions of the proposed application, which are based on my `original P300 BCI' and `adaptive P300 BCI'. In the adaptive P300 BCI, I introduce a novel algorithm for P300 detection to improve the information transfer rate while maintaining acceptable accuracy. Experiments with 10 healthy participants reveal that the original P300 BCI achieves mean accuracy of 83.5 % at 11.4 bits/min and the adaptive version achieves mean accuracy of 86.0 % at 18.6 bits/min.On the basis of BCI and PIN application, I expand my research to hybrid BCI. Here, I propose a hybrid brain/blink computer interface based on a single-channel EEG amplifier. Eyelid closing and hard blink are selected as two possible inputs for control of the interface. A 2-min calibration is required before starting to use the interface. An algorithm for feature extraction and classification is developed for EEG signals from eyelid closing, hard blink, and resting. To evaluate the performance of the interface, I incorporate it into a personal identification number (PIN) application, in both visual and auditory modes. Experiments with 5 healthy participants reveal that the PIN application based on the interface achieved a mean accuracy of 97.4 %.…
Subjects/Keywords: ฺbrain-computer interface; BCI; hybrid BCI; EEG; visual stimulation; event-related potential; ERP; drowsiness detection
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APA (6th Edition):
Wilaiprasi, T. (2017). A Study on Visual Stimulus Increasing Event-Related Potentials and Computer Interfaces Using EEG : 誘発電位を増加させる視覚刺激と脳波を用いたコンピュータインタフェースに関する研究; A Study on Visual Stimulus Increasing Event-Related Potentials and Computer Interfaces Using EEG. (Thesis). Tokyo Institute of Technology / 東京工業大学. Retrieved from http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100736172
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Wilaiprasi, Theerawit. “A Study on Visual Stimulus Increasing Event-Related Potentials and Computer Interfaces Using EEG : 誘発電位を増加させる視覚刺激と脳波を用いたコンピュータインタフェースに関する研究; A Study on Visual Stimulus Increasing Event-Related Potentials and Computer Interfaces Using EEG.” 2017. Thesis, Tokyo Institute of Technology / 東京工業大学. Accessed January 24, 2021.
http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100736172.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Wilaiprasi, Theerawit. “A Study on Visual Stimulus Increasing Event-Related Potentials and Computer Interfaces Using EEG : 誘発電位を増加させる視覚刺激と脳波を用いたコンピュータインタフェースに関する研究; A Study on Visual Stimulus Increasing Event-Related Potentials and Computer Interfaces Using EEG.” 2017. Web. 24 Jan 2021.
Vancouver:
Wilaiprasi T. A Study on Visual Stimulus Increasing Event-Related Potentials and Computer Interfaces Using EEG : 誘発電位を増加させる視覚刺激と脳波を用いたコンピュータインタフェースに関する研究; A Study on Visual Stimulus Increasing Event-Related Potentials and Computer Interfaces Using EEG. [Internet] [Thesis]. Tokyo Institute of Technology / 東京工業大学; 2017. [cited 2021 Jan 24].
Available from: http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100736172.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Wilaiprasi T. A Study on Visual Stimulus Increasing Event-Related Potentials and Computer Interfaces Using EEG : 誘発電位を増加させる視覚刺激と脳波を用いたコンピュータインタフェースに関する研究; A Study on Visual Stimulus Increasing Event-Related Potentials and Computer Interfaces Using EEG. [Thesis]. Tokyo Institute of Technology / 東京工業大学; 2017. Available from: http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100736172
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Tokyo Institute of Technology / 東京工業大学
24.
Wilaiprasi, Theerawit.
A Study on Visual Stimulus Increasing Event-Related Potentials and Computer Interfaces Using EEG : 誘発電位を増加させる視覚刺激と脳波を用いたコンピュータインタフェースに関する研究; A Study on Visual Stimulus Increasing Event-Related Potentials and Computer Interfaces Using EEG.
Degree: 博士(工学), 2017, Tokyo Institute of Technology / 東京工業大学
URL: http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100736171
► Brain – computer interfaces (BCIs) have been actively researched for over two decades. One of the primary goals is to create a non-muscular communication channel for…
(more)
▼ Brain – computer interfaces (BCIs) have been actively researched for over two decades. One of the primary goals is to create a non-muscular communication channel for locked-in patients. Electroencephalography (EEG) is a non-invasive technique that is commonly used in BCI measurement systems. Even though BCIs have a long history, their performance is still limited by the low signal-to noise ratio of EEG. A state-of-the-art BCI application is P300-based BCI. P300 refers to a major event-related potential (ERP) component that peaks around 300 ms after visual stimulus. P300 is an electroencephalographic correlate of target recognition in decision-making tasks. The P300 is used in several brain-computer interfaces (BCIs) as a non-motor signal of decisions, such as letter choice in the P300-Speller utility. Accuracy in choice specification depends on the difference in P300 amplitude evoked by target versus non-target stimuli. In this study, I describe visual stimulus factors, color, motion-modulated, complexity-modulated and orientation-modulated, all of which enhance the difference in P300 magnitude between target and non-target stimuli for P300-based BCIs. Stimulus arrays incorporating these visual factors may be used for the design of improved P300-based BCIs with greater choice accuracy and speed.To demonstrate advantage of research findings from visual factor studies, I report the development of a personal identification number (PIN) application using a P300-based BCI. I focus on visual stimulation design for increasing the evoked potential in the brain. Single-channel electroencephalography and a computationally inexpensive algorithm are used for P300 detection. Experimental results showed that my proposed stimulus induces higher P300 amplitude than does a conventional stimulus. For a performance evaluation, I compare two versions of the proposed application, which are based on my `original P300 BCI' and `adaptive P300 BCI'. In the adaptive P300 BCI, I introduce a novel algorithm for P300 detection to improve the information transfer rate while maintaining acceptable accuracy. Experiments with 10 healthy participants reveal that the original P300 BCI achieves mean accuracy of 83.5 % at 11.4 bits/min and the adaptive version achieves mean accuracy of 86.0 % at 18.6 bits/min.On the basis of BCI and PIN application, I expand my research to hybrid BCI. Here, I propose a hybrid brain/blink computer interface based on a single-channel EEG amplifier. Eyelid closing and hard blink are selected as two possible inputs for control of the interface. A 2-min calibration is required before starting to use the interface. An algorithm for feature extraction and classification is developed for EEG signals from eyelid closing, hard blink, and resting. To evaluate the performance of the interface, I incorporate it into a personal identification number (PIN) application, in both visual and auditory modes. Experiments with 5 healthy participants reveal that the PIN application based on the interface achieved a mean accuracy of 97.4 %.…
Subjects/Keywords: ฺbrain-computer interface; BCI; hybrid BCI; EEG; visual stimulation; event-related potential; ERP; drowsiness detection
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Wilaiprasi, T. (2017). A Study on Visual Stimulus Increasing Event-Related Potentials and Computer Interfaces Using EEG : 誘発電位を増加させる視覚刺激と脳波を用いたコンピュータインタフェースに関する研究; A Study on Visual Stimulus Increasing Event-Related Potentials and Computer Interfaces Using EEG. (Thesis). Tokyo Institute of Technology / 東京工業大学. Retrieved from http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100736171
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Wilaiprasi, Theerawit. “A Study on Visual Stimulus Increasing Event-Related Potentials and Computer Interfaces Using EEG : 誘発電位を増加させる視覚刺激と脳波を用いたコンピュータインタフェースに関する研究; A Study on Visual Stimulus Increasing Event-Related Potentials and Computer Interfaces Using EEG.” 2017. Thesis, Tokyo Institute of Technology / 東京工業大学. Accessed January 24, 2021.
http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100736171.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Wilaiprasi, Theerawit. “A Study on Visual Stimulus Increasing Event-Related Potentials and Computer Interfaces Using EEG : 誘発電位を増加させる視覚刺激と脳波を用いたコンピュータインタフェースに関する研究; A Study on Visual Stimulus Increasing Event-Related Potentials and Computer Interfaces Using EEG.” 2017. Web. 24 Jan 2021.
Vancouver:
Wilaiprasi T. A Study on Visual Stimulus Increasing Event-Related Potentials and Computer Interfaces Using EEG : 誘発電位を増加させる視覚刺激と脳波を用いたコンピュータインタフェースに関する研究; A Study on Visual Stimulus Increasing Event-Related Potentials and Computer Interfaces Using EEG. [Internet] [Thesis]. Tokyo Institute of Technology / 東京工業大学; 2017. [cited 2021 Jan 24].
Available from: http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100736171.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Wilaiprasi T. A Study on Visual Stimulus Increasing Event-Related Potentials and Computer Interfaces Using EEG : 誘発電位を増加させる視覚刺激と脳波を用いたコンピュータインタフェースに関する研究; A Study on Visual Stimulus Increasing Event-Related Potentials and Computer Interfaces Using EEG. [Thesis]. Tokyo Institute of Technology / 東京工業大学; 2017. Available from: http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100736171
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
25.
Bocquelet, Florent.
Vers une interface cerveau-machine pour la restauration de la parole : Toward a brain-computer interface for speech restoration.
Degree: Docteur es, Biotechnologie, instrumentation, signal et imagerie pour la biologie, la médecine et l'environnement, 2017, Université Grenoble Alpes (ComUE)
URL: http://www.theses.fr/2017GREAS008
► Restorer la faculté de parler chez des personnes paralysées et aphasiques pourrait être envisagée via l’utilisation d’une interface cerveau-machine permettant de contrôler un synthétiseur de…
(more)
▼ Restorer la faculté de parler chez des personnes paralysées et aphasiques pourrait être envisagée via l’utilisation d’une interface cerveau-machine permettant de contrôler un synthétiseur de parole en temps réel. L’objectif de cette thèse était de développer trois aspects nécessaires à la mise au point d’une telle preuve de concept.Premièrement, un synthétiseur permettant de produire en temps-réel de la parole intelligible et controlé par un nombre raisonable de paramètres est nécessaire. Nous avons choisi de synthétiser de la parole à partir des mouvements des articulateurs du conduit vocal. En effet, des études récentes ont suggéré que l’activité neuronale du cortex moteur de la parole pourrait contenir suffisamment d’information pour décoder la parole, et particulièrement ses propriété articulatoire (ex. l’ouverture des lèvres). Nous avons donc développé un synthétiseur produisant de la parole intelligible à partir de données articulatoires. Dans un premier temps, nous avons enregistré un large corpus de données articulatoire et acoustiques synchrones chez un locuteur. Ensuite, nous avons utilisé des techniques d’apprentissage automatique, en particulier des réseaux de neurones profonds, pour construire un modèle permettant de convertir des données articulatoires en parole. Ce synthétisuer a été construit pour fonctionner en temps réel. Enfin, comme première étape vers un contrôle neuronal de ce synthétiseur, nous avons testé qu’il pouvait être contrôlé en temps réel par plusieurs locuteurs, pour produire de la parole inetlligible à partir de leurs mouvements articulatoires dans un paradigme de boucle fermée.Deuxièmement, nous avons étudié le décodage de la parole et de ses propriétés articulatoires à partir d’activités neuronales essentiellement enregistrées dans le cortex moteur de la parole. Nous avons construit un outil permettant de localiser les aires corticales actives, en ligne pendant des chirurgies éveillées à l’hôpital de Grenoble, et nous avons testé ce système chez deux patients atteints d’un cancer du cerveau. Les résultats ont montré que le cortex moteur exhibe une activité spécifique pendant la production de parole dans les bandes beta et gamma du signal, y compris lors de l’imagination de la parole. Les données enregistrées ont ensuite pu être analysées pour décoder l’intention de parler du sujet (réelle ou imaginée), ainsi que la vibration des cordes vocales et les trajectoires des articulateurs principaux du conduit vocal significativement au dessus du niveau de la chance.Enfin, nous nous sommes intéressés aux questions éthiques qui accompagnent le développement et l’usage des interfaces cerveau-machine. Nous avons en particulier considéré trois niveaux de réflexion éthique concernant respectivement l’animal, l’humain et l’humanité.
Restoring natural speech in paralyzed and aphasic people could be achieved using a brain-computer interface controlling a speech synthesizer in real-time. The aim of this thesis was thus to develop three main steps toward such proof of concept.First, a…
Advisors/Committee Members: Girin, Laurent (thesis director), Yvert, Blaise (thesis director).
Subjects/Keywords: Interface cerveau-Machine; Parole; Restauration; Reconnaissance formes; Bci; Synthèse parole; Brain-Computer interface; Speech; Restoration; Bci; Speech synthesis; Machine learning; 620
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❌
APA ·
Chicago ·
MLA ·
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CSE |
Export
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APA (6th Edition):
Bocquelet, F. (2017). Vers une interface cerveau-machine pour la restauration de la parole : Toward a brain-computer interface for speech restoration. (Doctoral Dissertation). Université Grenoble Alpes (ComUE). Retrieved from http://www.theses.fr/2017GREAS008
Chicago Manual of Style (16th Edition):
Bocquelet, Florent. “Vers une interface cerveau-machine pour la restauration de la parole : Toward a brain-computer interface for speech restoration.” 2017. Doctoral Dissertation, Université Grenoble Alpes (ComUE). Accessed January 24, 2021.
http://www.theses.fr/2017GREAS008.
MLA Handbook (7th Edition):
Bocquelet, Florent. “Vers une interface cerveau-machine pour la restauration de la parole : Toward a brain-computer interface for speech restoration.” 2017. Web. 24 Jan 2021.
Vancouver:
Bocquelet F. Vers une interface cerveau-machine pour la restauration de la parole : Toward a brain-computer interface for speech restoration. [Internet] [Doctoral dissertation]. Université Grenoble Alpes (ComUE); 2017. [cited 2021 Jan 24].
Available from: http://www.theses.fr/2017GREAS008.
Council of Science Editors:
Bocquelet F. Vers une interface cerveau-machine pour la restauration de la parole : Toward a brain-computer interface for speech restoration. [Doctoral Dissertation]. Université Grenoble Alpes (ComUE); 2017. Available from: http://www.theses.fr/2017GREAS008
Stockholm University
26.
Lind, Carl Jonas.
Brain Computer Interface (BCI) : - Översiktsartikel utifrån ett neuropsykologiskt perspektiv med tillämpningar och enkätundersökning.
Degree: Psychology, 2020, Stockholm University
URL: http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-186099
► Syftet med uppsatsen är att ge en uppdaterad översikt av området BCI (Brain Computer Interface) och undersöka vad som hänt sedan begreppet introducerades i…
(more)
▼ Syftet med uppsatsen är att ge en uppdaterad översikt av området BCI (Brain Computer Interface) och undersöka vad som hänt sedan begreppet introducerades i forskningssammanhang; vilka praktiska resultat forskningen lett till och vilka tillämpningar som tillkommit. Metoden som företrädesvis används är litteraturstudie som tecknar bakgrund och enkät. Därefter följer en diskussion där utmaningar för framtiden, potential och tillämpningar i BCI-tekniken behandlas utifrån ett neuropsykologiskt perspektiv. Kommer BCI-tekniken att implementeras på samma sätt som radio, TV och telekommunikationer i samhället och vilka etiska och tekniska problem finns idag. För att skildra allmänhetens uppfattning om BCI genomfördes en webbaserad enkätundersökning (survey) i form av pilotstudie (n=32) som syftar till att ge en indikation på attityder och hur allmänhetens opinion med avseende på tillämpningar i samtiden och jämförelser med avseende på teknisk bakgrund.
Subjects/Keywords: BCI; BBI; Brain Computer Interface; neurofeedback; EEG; neuropsychology; BCI; BBI; Brain Computer Interface; neurofeedback; EEG; neuropsykologi; Social Sciences; Samhällsvetenskap; Psychology; Psykologi
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APA ·
Chicago ·
MLA ·
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CSE |
Export
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APA (6th Edition):
Lind, C. J. (2020). Brain Computer Interface (BCI) : - Översiktsartikel utifrån ett neuropsykologiskt perspektiv med tillämpningar och enkätundersökning. (Thesis). Stockholm University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-186099
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Lind, Carl Jonas. “Brain Computer Interface (BCI) : - Översiktsartikel utifrån ett neuropsykologiskt perspektiv med tillämpningar och enkätundersökning.” 2020. Thesis, Stockholm University. Accessed January 24, 2021.
http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-186099.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Lind, Carl Jonas. “Brain Computer Interface (BCI) : - Översiktsartikel utifrån ett neuropsykologiskt perspektiv med tillämpningar och enkätundersökning.” 2020. Web. 24 Jan 2021.
Vancouver:
Lind CJ. Brain Computer Interface (BCI) : - Översiktsartikel utifrån ett neuropsykologiskt perspektiv med tillämpningar och enkätundersökning. [Internet] [Thesis]. Stockholm University; 2020. [cited 2021 Jan 24].
Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-186099.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Lind CJ. Brain Computer Interface (BCI) : - Översiktsartikel utifrån ett neuropsykologiskt perspektiv med tillämpningar och enkätundersökning. [Thesis]. Stockholm University; 2020. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-186099
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
27.
Lacmanović Dejan.
Modeliranje i razvoj računarskog sistema za korišćenje servisa e-uprave za osobe sa invaliditetom.
Degree: 2016, University of Novi Sad
URL: https://www.cris.uns.ac.rs/DownloadFileServlet/Disertacija146002337954666.pdf?controlNumber=(BISIS)100578&fileName=146002337954666.pdf&id=5290&source=OATD&language=en
;
https://www.cris.uns.ac.rs/record.jsf?recordId=100578&source=OATD&language=en
► <p style="text-align: justify">Cilj ove doktorske disertacije je da predstavi model i računarski sistem koji rešava problem osoba sa invaliditetom koja nisu u mogućnosti da koriste…
(more)
▼ <p style="text-align: justify">Cilj ove doktorske disertacije je da predstavi model i računarski sistem koji rešava problem osoba sa invaliditetom koja nisu u mogućnosti da koriste ruke ili funkciju govora u ostvarivanju komunikacije. Disertacija se bavi problematikom mogućnosti primene ekonomski pristupačnih asistivnih tehnologija u domenu primene servisa elektronske uprave. Od asistivnih tehnologija disertacija istražuje mogućnosti primene neinvazivne BCI tehnologije u poređenju sa sistemima baziranih na HD kamerama. Razvijen je računarski sistem koji omogućava integraciju u operativni sistem i upotrebu računara za unos komandi upotrebom detekcije moždanih talasa.
The main objective of this doctoral thesis is to present the model and a computer system that solves the communication problem of people with disabilities (people who cannot use their hands or the function of speech communication). The dissertation researches the possibility to apply economic affordable assistive technologies in the field of application of e-government services. Thesis explores the possibilities of application of non-invasive BCI technology compared to systems based on HD cameras. Has been developed a computer system that allows the integration into the operating system that allow to enter commands by the detection of brain waves.
Advisors/Committee Members: Ivković Miodrag, Radosav Dragica, Milosavljević Branko, Glušac Dragana, Markoski Branko.
Subjects/Keywords: BCI, moždani talasi, EEG signali, kontrola računara, invaliditet, e-uprava; BCI, brain waves, EEG signals, computercontrol, disability, e-government
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APA ·
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MLA ·
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CSE |
Export
to Zotero / EndNote / Reference
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APA (6th Edition):
Dejan, L. (2016). Modeliranje i razvoj računarskog sistema za korišćenje servisa e-uprave za osobe sa invaliditetom. (Thesis). University of Novi Sad. Retrieved from https://www.cris.uns.ac.rs/DownloadFileServlet/Disertacija146002337954666.pdf?controlNumber=(BISIS)100578&fileName=146002337954666.pdf&id=5290&source=OATD&language=en ; https://www.cris.uns.ac.rs/record.jsf?recordId=100578&source=OATD&language=en
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Dejan, Lacmanović. “Modeliranje i razvoj računarskog sistema za korišćenje servisa e-uprave za osobe sa invaliditetom.” 2016. Thesis, University of Novi Sad. Accessed January 24, 2021.
https://www.cris.uns.ac.rs/DownloadFileServlet/Disertacija146002337954666.pdf?controlNumber=(BISIS)100578&fileName=146002337954666.pdf&id=5290&source=OATD&language=en ; https://www.cris.uns.ac.rs/record.jsf?recordId=100578&source=OATD&language=en.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Dejan, Lacmanović. “Modeliranje i razvoj računarskog sistema za korišćenje servisa e-uprave za osobe sa invaliditetom.” 2016. Web. 24 Jan 2021.
Vancouver:
Dejan L. Modeliranje i razvoj računarskog sistema za korišćenje servisa e-uprave za osobe sa invaliditetom. [Internet] [Thesis]. University of Novi Sad; 2016. [cited 2021 Jan 24].
Available from: https://www.cris.uns.ac.rs/DownloadFileServlet/Disertacija146002337954666.pdf?controlNumber=(BISIS)100578&fileName=146002337954666.pdf&id=5290&source=OATD&language=en ; https://www.cris.uns.ac.rs/record.jsf?recordId=100578&source=OATD&language=en.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Dejan L. Modeliranje i razvoj računarskog sistema za korišćenje servisa e-uprave za osobe sa invaliditetom. [Thesis]. University of Novi Sad; 2016. Available from: https://www.cris.uns.ac.rs/DownloadFileServlet/Disertacija146002337954666.pdf?controlNumber=(BISIS)100578&fileName=146002337954666.pdf&id=5290&source=OATD&language=en ; https://www.cris.uns.ac.rs/record.jsf?recordId=100578&source=OATD&language=en
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Texas – Austin
28.
Chang, Yin-Jui.
Signal translation between EEG and ECoG to improve non-invasive based BCI performance.
Degree: MSin Engineering, Mechanical Engineering, 2018, University of Texas – Austin
URL: http://hdl.handle.net/2152/72447
► An electroencephalography (EEG) / electrocorticography (ECoG) inverse model for the Brain-Computer Interface (BCI) was developed, and the analysis of the signals was simulated in Python…
(more)
▼ An electroencephalography (EEG) / electrocorticography (ECoG) inverse model for the Brain-Computer Interface (
BCI) was developed, and the analysis of the signals was simulated in Python environment. The inverse solution, in an attempt to estimate ECoG from EEG, can significantly improve the performance of noninvasive based
BCI. NonLinear Principal Component Analysis (NLPCA) is employed to reduce the complexity of computation. Forward model is then derived from the electro-physiological perspective to capture the dynamic of the signals. To represent nonlinear approximations, a NeuroBondGraph (NBG) approach is introduced to model both the system dynamics and the nonlinearity in a more efficient way. Inverse solution is then established integrating with the de-mapping part of NLPCA. The simulation results are demonstrated by the comparison between original signals and reconstructed signals from our model.
Advisors/Committee Members: Bryant, Michael David (advisor), Fernandez, Benito R. (advisor).
Subjects/Keywords: Brain-Computer Interface; BCI; EEG; Electroencephalography; ECoG; Electrocorticography; Brain-Machine Interface; BMI; Non-invasive based BCI; NeuroBondGraph; NBG
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APA (6th Edition):
Chang, Y. (2018). Signal translation between EEG and ECoG to improve non-invasive based BCI performance. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/72447
Chicago Manual of Style (16th Edition):
Chang, Yin-Jui. “Signal translation between EEG and ECoG to improve non-invasive based BCI performance.” 2018. Masters Thesis, University of Texas – Austin. Accessed January 24, 2021.
http://hdl.handle.net/2152/72447.
MLA Handbook (7th Edition):
Chang, Yin-Jui. “Signal translation between EEG and ECoG to improve non-invasive based BCI performance.” 2018. Web. 24 Jan 2021.
Vancouver:
Chang Y. Signal translation between EEG and ECoG to improve non-invasive based BCI performance. [Internet] [Masters thesis]. University of Texas – Austin; 2018. [cited 2021 Jan 24].
Available from: http://hdl.handle.net/2152/72447.
Council of Science Editors:
Chang Y. Signal translation between EEG and ECoG to improve non-invasive based BCI performance. [Masters Thesis]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/72447
29.
山口, 朋成.
マセマティカル・モルフォロジーを用いた脳波信号解析に関する研究.
Degree: 博士（情報工学）, 2017, Kyushu Institute of Technology / 九州工業大学
URL: http://hdl.handle.net/10228/4899
九州工業大学博士学位論文 学位記番号:情工博甲第262号 学位授与年月日:平成24年3月23日
1 序論|2 マセマティカル・モルフォロジーによる信号解析手法|3 BCIシステムにおける脳波信号解析～特徴量抽出と変動解析～|4 結論
平成23年度
Advisors/Committee Members: 井上, 勝裕.Subjects/Keywords: モルフォロジー; ウェーブレット; フィルタ設計; 脳波; BCI
Record Details
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Record Details
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APA ·
Chicago ·
MLA ·
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to Zotero / EndNote / Reference
Manager
APA (6th Edition):
山口, . (2017). マセマティカル・モルフォロジーを用いた脳波信号解析に関する研究. (Thesis). Kyushu Institute of Technology / 九州工業大学. Retrieved from http://hdl.handle.net/10228/4899
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
山口, 朋成. “マセマティカル・モルフォロジーを用いた脳波信号解析に関する研究.” 2017. Thesis, Kyushu Institute of Technology / 九州工業大学. Accessed January 24, 2021.
http://hdl.handle.net/10228/4899.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
山口, 朋成. “マセマティカル・モルフォロジーを用いた脳波信号解析に関する研究.” 2017. Web. 24 Jan 2021.
Vancouver:
山口 . マセマティカル・モルフォロジーを用いた脳波信号解析に関する研究. [Internet] [Thesis]. Kyushu Institute of Technology / 九州工業大学; 2017. [cited 2021 Jan 24].
Available from: http://hdl.handle.net/10228/4899.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
山口 . マセマティカル・モルフォロジーを用いた脳波信号解析に関する研究. [Thesis]. Kyushu Institute of Technology / 九州工業大学; 2017. Available from: http://hdl.handle.net/10228/4899
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of California – Irvine
30.
Norman, Sumner Lee.
Movement Anticipation and EEG: Implications for BCI-Contingent Robot Therapy.
Degree: Mechanical and Aerospace Engineering, 2014, University of California – Irvine
URL: http://www.escholarship.org/uc/item/6qw1f0fr
► Brain-computer interfacing is a technology that could potentially be used to improve patient effort in robot-assisted rehabilitation therapy. For example, movement intention reduces mu (8-13…
(more)
▼ Brain-computer interfacing is a technology that could potentially be used to improve patient effort in robot-assisted rehabilitation therapy. For example, movement intention reduces mu (8-13 Hz) oscillation amplitude over the sensorimotor cortex, a phenomenon referred to as event-related desynchronization (ERD). In an ERD-contingent assistance paradigm, initial BCI-enhanced robotic therapy studies have used ERD as a trigger signal for providing robotic assistance to limb movement. Here we investigated how ERD changed as a function of audio-visual stimuli, overt movement from the participant, and robotic assistance. Eight unimpaired subjects played a musical computer game designed for rehabilitation therapy using the FINGER robotic exoskeleton. In the game, the participant and robot matched finger movement timing to audiovisual stimuli in the form of notes approaching a target on the screen set to the consistent beat of popular music. The audiovisual stimulation of the game alone did not cause ERD, before or after training. In contrast, overt movement by the subject caused ERD, whether or not the robot assisted the finger movement. Notably, ERD was also present when the subjects remained passive and the robot imposed movement. This ERD occurred in anticipation of the passive finger movement with similar onset timing as for the overt movement conditions. These results demonstrate that ERD can be contingent on expectation of robotic assistance; that is, the brain generates an anticipatory ERD in expectation of a robot-imposed but predictable movement. This is a caveat that should be considered in designing BCI interfaces for enhancing patient effort in robotically-assisted therapy.
Subjects/Keywords: Neurosciences; Robotics; Engineering; BCI; EEG; Neuroscience; Rehabilitation; Robotic; Therapy
Record Details
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❌
APA ·
Chicago ·
MLA ·
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CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Norman, S. L. (2014). Movement Anticipation and EEG: Implications for BCI-Contingent Robot Therapy. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/6qw1f0fr
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Norman, Sumner Lee. “Movement Anticipation and EEG: Implications for BCI-Contingent Robot Therapy.” 2014. Thesis, University of California – Irvine. Accessed January 24, 2021.
http://www.escholarship.org/uc/item/6qw1f0fr.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Norman, Sumner Lee. “Movement Anticipation and EEG: Implications for BCI-Contingent Robot Therapy.” 2014. Web. 24 Jan 2021.
Vancouver:
Norman SL. Movement Anticipation and EEG: Implications for BCI-Contingent Robot Therapy. [Internet] [Thesis]. University of California – Irvine; 2014. [cited 2021 Jan 24].
Available from: http://www.escholarship.org/uc/item/6qw1f0fr.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Norman SL. Movement Anticipation and EEG: Implications for BCI-Contingent Robot Therapy. [Thesis]. University of California – Irvine; 2014. Available from: http://www.escholarship.org/uc/item/6qw1f0fr
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
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