subject:(American Sign Language Recognition)

1. Daleesha M Viswanathan; Dr. Sumam Mary Idicula. A Computational Framework for Indian Sign Language Recognition.

Degree: 2015, Cochin University of Science and Technology

URL: http://dyuthi.cusat.ac.in/purl/5144

► Sign language is the primary means of communication for the hard to hear and speak people around the globe. Sign language emphasizes on visual possibilities… (more)

Subjects/Keywords: Indian Sign Language; Sign Language Recognition; Indian Sign Language; American Sign Language Recognition; Arabic Sign Language Recognition; Chinese Sign Language Recognition

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Idicula, D. M. V. D. S. M. (2015). A Computational Framework for Indian Sign Language Recognition. (Thesis). Cochin University of Science and Technology. Retrieved from http://dyuthi.cusat.ac.in/purl/5144

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Idicula, Daleesha M Viswanathan; Dr. Sumam Mary. “A Computational Framework for Indian Sign Language Recognition.” 2015. Thesis, Cochin University of Science and Technology. Accessed December 12, 2019. http://dyuthi.cusat.ac.in/purl/5144.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Idicula, Daleesha M Viswanathan; Dr. Sumam Mary. “A Computational Framework for Indian Sign Language Recognition.” 2015. Web. 12 Dec 2019.

Vancouver:

Idicula DMVDSM. A Computational Framework for Indian Sign Language Recognition. [Internet] [Thesis]. Cochin University of Science and Technology; 2015. [cited 2019 Dec 12]. Available from: http://dyuthi.cusat.ac.in/purl/5144.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Idicula DMVDSM. A Computational Framework for Indian Sign Language Recognition. [Thesis]. Cochin University of Science and Technology; 2015. Available from: http://dyuthi.cusat.ac.in/purl/5144

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Rochester Institute of Technology

2. Holm, Ben. Evaluation of RSL history as a tool for assistance in the development and evaluation of computer vision algorithms.

Degree: Computer Science (GCCIS), 2011, Rochester Institute of Technology

URL: https://scholarworks.rit.edu/theses/229

► A revision of Recognition Strategy Language (RSL), a domain-specific language for pattern recognition algorithm development, is in development. This language provides several tools for pattern… (more)

▼ A revision of Recognition Strategy Language (RSL), a domain-specific language for pattern recognition algorithm development, is in development. This language provides several tools for pattern recognition algorithm implementation and analysis, including composition of operations and a detailed history of those operations and their results. This research focuses on that history and shows that for some problems it provides an improvement over traditional methods of gathering information. When designing a pattern recognition algorithm, bookkeeping code in the form of copious logging and tracing code must be written and analyzed in order to test the effectiveness of procedures and parameters. The amount of data grows when dealing with video streams; new organization and searching tools need to be designed in order to manage the large volume of data. General purpose languages have techniques like Aspect Oriented Programming intended to address this problem, but a general approach is limited because it does not provide tools that are useful to only one problem domain. By incorporating support for this bookkeeping work directly into the language, RSL provides an improvement over the general approach in both development time and ability to evaluate the algorithm being designed for some problems. The utility of RSL is tested by evaluating the implementation process of a computer vision algorithm for recognizing American Sign Language (ASL). RSL history is examined in terms of its use in the development and evaluation stages of the algorithm, and the usefulness of the history is stated based on the benefit seen at each stage. RSL is found to be valuable for a portion of the algorithm involving distinct steps that provide opportunity for comparison. RSL was less beneficial for the dynamic programming portion of the algorithm. Compromises were made for performance reasons while implementing the dynamic programming solution and the inspection at every step of what amounts to a brute-force search was less informative. We suggest that this investigation could be continued by testing with a larger data set and by comparing this ASL recognition algorithm with another. Advisors/Committee Members: Fluet, Matthew, Zanibbi, Richard.

Subjects/Keywords: American sign language; ASL; Recognition strategy language; RSL

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APA (6^th Edition):

Holm, B. (2011). Evaluation of RSL history as a tool for assistance in the development and evaluation of computer vision algorithms. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/229

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Holm, Ben. “Evaluation of RSL history as a tool for assistance in the development and evaluation of computer vision algorithms.” 2011. Thesis, Rochester Institute of Technology. Accessed December 12, 2019. https://scholarworks.rit.edu/theses/229.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Holm, Ben. “Evaluation of RSL history as a tool for assistance in the development and evaluation of computer vision algorithms.” 2011. Web. 12 Dec 2019.

Vancouver:

Holm B. Evaluation of RSL history as a tool for assistance in the development and evaluation of computer vision algorithms. [Internet] [Thesis]. Rochester Institute of Technology; 2011. [cited 2019 Dec 12]. Available from: https://scholarworks.rit.edu/theses/229.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Holm B. Evaluation of RSL history as a tool for assistance in the development and evaluation of computer vision algorithms. [Thesis]. Rochester Institute of Technology; 2011. Available from: https://scholarworks.rit.edu/theses/229

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of the Western Cape

3. Nel, Warren. An integrated sign language recognition system .

Degree: 2014, University of the Western Cape

URL: http://hdl.handle.net/11394/3584

► Research has shown that five parameters are required to recognize any sign language gesture: hand shape, location, orientation and motion, as well as facial expressions.… (more)

Subjects/Keywords: Sign language; Sign language recognition; South African sign Language gesture recognition

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APA (6^th Edition):

Nel, W. (2014). An integrated sign language recognition system . (Thesis). University of the Western Cape. Retrieved from http://hdl.handle.net/11394/3584

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Nel, Warren. “An integrated sign language recognition system .” 2014. Thesis, University of the Western Cape. Accessed December 12, 2019. http://hdl.handle.net/11394/3584.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Nel, Warren. “An integrated sign language recognition system .” 2014. Web. 12 Dec 2019.

Vancouver:

Nel W. An integrated sign language recognition system . [Internet] [Thesis]. University of the Western Cape; 2014. [cited 2019 Dec 12]. Available from: http://hdl.handle.net/11394/3584.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Nel W. An integrated sign language recognition system . [Thesis]. University of the Western Cape; 2014. Available from: http://hdl.handle.net/11394/3584

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Boston University

4. Thangali, Ashwin. Exploiting phonological constraints for handshape recognition in sign language video.

Degree: PhD, Computer Science, 2013, Boston University

URL: http://hdl.handle.net/2144/14076

► The ability to recognize handshapes in signing video is essential in algorithms for sign recognition and retrieval. Handshape recognition from isolated images is, however, an… (more)

▼ The ability to recognize handshapes in signing video is essential in algorithms for sign recognition and retrieval. Handshape recognition from isolated images is, however, an insufficiently constrained problem. Many handshapes share similar 3D configurations and are indistinguishable for some hand orientations in 2D image projections. Additionally, significant differences in handshape appearance are induced by the articulated structure of the hand and variants produced by different signers. Linguistic rules involved in the production of signs impose strong constraints on the articulations of the hands, yet, little attention has been paid towards exploiting these constraints in previous works on sign recognition. Among the different classes of signs in any signed language, lexical signs constitute the prevalent class. Morphemes (or, meaningful units) for signs in this class involve a combination of particular handshapes, palm orientations, locations for articulation, and movement type. These are thus analyzed by many sign linguists as analogues of phonemes in spoken languages. Phonological constraints govern the ways in which phonemes combine in American Sign Language (ASL), as in other signed and spoken languages; utilizing these constraints for handshape recognition in ASL is the focus of the proposed thesis. Handshapes in monomorphemic lexical signs are specified at the start and end of the sign. The handshape transition within a sign are constrained to involve either closing or opening of the hand (i.e., constrained to exclusively use either folding or unfolding of the palm and one or more fingers). Furthermore, akin to allophonic variations in spoken languages, both inter- and intra- signer variations in the production of specific handshapes are observed. We propose a Bayesian network formulation to exploit handshape co-occurrence constraints also utilizing information about allophonic variations to aid in handshape recognition. We propose a fast non-rigid image alignment method to gain improved robustness to handshape appearance variations during computation of observation likelihoods in the Bayesian network. We evaluate our handshape recognition approach on a large dataset of monomorphemic lexical signs. We demonstrate that leveraging linguistic constraints on handshapes results in improved handshape recognition accuracy. As part of the overall project, we are collecting and preparing for dissemination a large corpus (three thousand signs from three native signers) of ASL video annotated with linguistic information such as glosses, morphological properties and variations, and start/end handshapes associated with each ASL sign.

Subjects/Keywords: Computer science; Handshape recognition; Probabilistic models; Variational Bayes learning; American Sign Language; American Sign Language lexicon video dataset

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Thangali, A. (2013). Exploiting phonological constraints for handshape recognition in sign language video. (Doctoral Dissertation). Boston University. Retrieved from http://hdl.handle.net/2144/14076

Chicago Manual of Style (16^th Edition):

Thangali, Ashwin. “Exploiting phonological constraints for handshape recognition in sign language video.” 2013. Doctoral Dissertation, Boston University. Accessed December 12, 2019. http://hdl.handle.net/2144/14076.

MLA Handbook (7^th Edition):

Thangali, Ashwin. “Exploiting phonological constraints for handshape recognition in sign language video.” 2013. Web. 12 Dec 2019.

Vancouver:

Thangali A. Exploiting phonological constraints for handshape recognition in sign language video. [Internet] [Doctoral dissertation]. Boston University; 2013. [cited 2019 Dec 12]. Available from: http://hdl.handle.net/2144/14076.

Council of Science Editors:

Thangali A. Exploiting phonological constraints for handshape recognition in sign language video. [Doctoral Dissertation]. Boston University; 2013. Available from: http://hdl.handle.net/2144/14076

The Ohio State University

5. Ding, Liya. Modelling and Recognition of Manuals and Non-manuals in American Sign Language.

Degree: PhD, Electrical and Computer Engineering, 2009, The Ohio State University

URL: http://rave.ohiolink.edu/etdc/view?acc_num=osu1237564092

► In American Sign Language (ASL), the manual and the non-manual components play crucial semantical and grammatical roles. The design of systems that can analyze and… (more)

▼ In American Sign Language (ASL), the manual and the non-manual components play crucial semantical and grammatical roles. The design of systems that can analyze and recognize ASL sentences requires the recovery of both these manual and non-manual components. Manual signs in ASL are constructed using three building blocks – handshape, motion, and place of articulation. Only when these three are successfully estimated, can a sign be uniquely identified. The first part of my research is to define algorithms to recognize manual signs based on the recovery of these three components from a single video sequence of two-dimensional images of a sign. The 3D handshape is obtained with a structure-from-motion algorithm based on the linear fitting of matrices with missing data. To recover the 3D motion of the hand, a robust algorithm is defined which selects the most stable solution from the pool of all the solutions given by the three point resection problem. Faces of the signers in the video sequence are detected, with which the coordinate system with respect to the signer is defined and hence we recover the place of articulation of the sign. Based on the recognition results of the three recovered components, the manual signs are recognized using a tree-like structure. For the non-manual component of ASL, we need to provide an accurate and detailed description of external and internal facial features. The second part of this research focuses on the precise detailed detection of faces and facial features. Learning to discriminate the features from their context permits a precise detection of facial components, which is the key point of the feature detection algorithm. And because the shape and texture of facial features vary widely under changing expression, pose and illumination, the detection of a feature versus the context is challenging. This problem is addressed with the use of subclass division, which is employed to automatically divide the training samples of each facial feature into a set of subclasses, each representing a distinct construction of the same facial component. This approach is combined with edge and color segmentation to provide an accurate and detailed detection of the shapes of the major facial features. This proposed detection algorithm is used to obtain precise descriptions of the facial features in video sequences of ASL sentences, where the variability in expressions can be extreme. With the proposed algorithms, the modelling and recognition of ASL manual signs using the three manual components are achieved, and the non-manuals of ASL are detailedly and precisely modelled, which provides data for the analysis and recognition of the non-manuals in ASL. The recognition of both the manual and the non-manual components enables human-computer-interface systems to understand ASL. Advisors/Committee Members: Martinez, Aleix (Advisor).

Subjects/Keywords: Electrical Engineering; Computer Vision; Pattern Recognition; Manual Sign Recognition; Face Detection; Context Feature; Subclass Based Classification; American Sign Language

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APA (6^th Edition):

Ding, L. (2009). Modelling and Recognition of Manuals and Non-manuals in American Sign Language. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1237564092

Chicago Manual of Style (16^th Edition):

Ding, Liya. “Modelling and Recognition of Manuals and Non-manuals in American Sign Language.” 2009. Doctoral Dissertation, The Ohio State University. Accessed December 12, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1237564092.

MLA Handbook (7^th Edition):

Ding, Liya. “Modelling and Recognition of Manuals and Non-manuals in American Sign Language.” 2009. Web. 12 Dec 2019.

Vancouver:

Ding L. Modelling and Recognition of Manuals and Non-manuals in American Sign Language. [Internet] [Doctoral dissertation]. The Ohio State University; 2009. [cited 2019 Dec 12]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1237564092.

Council of Science Editors:

Ding L. Modelling and Recognition of Manuals and Non-manuals in American Sign Language. [Doctoral Dissertation]. The Ohio State University; 2009. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1237564092

Georgia Tech

6. Zafrulla, Zahoor. Automatic recognition of American sign language classifiers.

Degree: PhD, Computer Science, 2014, Georgia Tech

URL: http://hdl.handle.net/1853/53461

► Automatically recognizing classifier-based grammatical structures of American Sign Language (ASL) is a challenging problem. Classifiers in ASL utilize surrogate hand shapes for people or "classes"… (more)

▼ Automatically recognizing classifier-based grammatical structures of American Sign Language (ASL) is a challenging problem. Classifiers in ASL utilize surrogate hand shapes for people or "classes" of objects and provide information about their location, movement and appearance. In the past researchers have focused on recognition of finger spelling, isolated signs, facial expressions and interrogative words like WH-questions (e.g. Who, What, Where, and When). Challenging problems such as recognition of ASL sentences and classifier-based grammatical structures remain relatively unexplored in the field of ASL recognition. One application of recognition of classifiers is toward creating educational games to help young deaf children acquire language skills. Previous work developed CopyCat, an educational ASL game that requires children to engage in a progressively more difficult expressive signing task as they advance through the game. We have shown that by leveraging context we can use verification, in place of recognition, to boost machine performance for determining if the signed responses in an expressive signing task, like in the CopyCat game, are correct or incorrect. We have demonstrated that the quality of a machine verifier's ability to identify the boundary of the signs can be improved by using a novel two-pass technique that combines signed input in both forward and reverse directions. Additionally, we have shown that we can reduce CopyCat's dependency on custom manufactured hardware by using an off-the-shelf Microsoft Kinect depth camera to achieve similar verification performance. Finally, we show how we can extend our ability to recognize sign language by leveraging depth maps to develop a method using improved hand detection and hand shape classification to recognize selected classifier-based grammatical structures of ASL. Advisors/Committee Members: Starner, Thad (advisor), Essa, Irfan (committee member), Hamilton, Harley (committee member), Athitsos, Vassilis (committee member), Rehg, James M. (committee member).

Subjects/Keywords: American sgn Language; Hand tracking; Sign language recognition; Verification; Depth maps; Educational games

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APA (6^th Edition):

Zafrulla, Z. (2014). Automatic recognition of American sign language classifiers. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53461

Chicago Manual of Style (16^th Edition):

Zafrulla, Zahoor. “Automatic recognition of American sign language classifiers.” 2014. Doctoral Dissertation, Georgia Tech. Accessed December 12, 2019. http://hdl.handle.net/1853/53461.

MLA Handbook (7^th Edition):

Zafrulla, Zahoor. “Automatic recognition of American sign language classifiers.” 2014. Web. 12 Dec 2019.

Vancouver:

Zafrulla Z. Automatic recognition of American sign language classifiers. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2019 Dec 12]. Available from: http://hdl.handle.net/1853/53461.

Council of Science Editors:

Zafrulla Z. Automatic recognition of American sign language classifiers. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/53461

University of the Western Cape

7. Li, Pei. Hand shape estimation for South African sign language .

Degree: 2012, University of the Western Cape

URL: http://hdl.handle.net/11394/4374

► Hand shape recognition is a pivotal part of any system that attempts to implement Sign Language recognition. This thesis presents a novel system which recognises… (more)

Subjects/Keywords: Sign language; Sign language recognition; Hand shape recognition; Hand tracking

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Li, P. (2012). Hand shape estimation for South African sign language . (Thesis). University of the Western Cape. Retrieved from http://hdl.handle.net/11394/4374

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Li, Pei. “Hand shape estimation for South African sign language .” 2012. Thesis, University of the Western Cape. Accessed December 12, 2019. http://hdl.handle.net/11394/4374.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Li, Pei. “Hand shape estimation for South African sign language .” 2012. Web. 12 Dec 2019.

Vancouver:

Li P. Hand shape estimation for South African sign language . [Internet] [Thesis]. University of the Western Cape; 2012. [cited 2019 Dec 12]. Available from: http://hdl.handle.net/11394/4374.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Li P. Hand shape estimation for South African sign language . [Thesis]. University of the Western Cape; 2012. Available from: http://hdl.handle.net/11394/4374

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of New Mexico

8. Cagle, Keith Martin. EXPLORING THE ANCESTRAL ROOTS OF AMERICAN SIGN LANGUAGE: LEXICAL BORROWING FROM CISTERCIAN SIGN LANGUAGE AND FRENCH SIGN LANGUAGE.

Degree: Language, Literacy, and Sociocultural Studies, 2010, University of New Mexico

URL: http://hdl.handle.net/1928/10858

► American Sign Language (ASL) is the natural and preferred language of the Deaf community in both the United States and Canada. Woodward (1978) estimated that… (more)

▼ American Sign Language (ASL) is the natural and preferred language of the Deaf community in both the United States and Canada. Woodward (1978) estimated that approximately 60% of the ASL lexicon is derived from early 19th century French Sign Language, which is known as langue des signes française (LSF). The lexicon of LSF and ASL may be derived from several sources such as gestures, home signs created by deaf individuals living with their hearing families, North American Indian sign languages, Martha Vineyard sign language, and new signs added to LSF and ASL through the generations. Before the emergence of LSF in the 18th century and ASL in the 19th century, Cistercian Sign Language (CSL) had been used extensively by monks for centuries in Europe. This dissertation explores the plausible roots of ASL prior to LSF. These ancestral roots were researched: (A) to determine, from a limited corpus of CSL, if similar phonologically and semantically related lexical items are found in LSF and ASL; (B) to determine if any of the CSL, LSF and ASL phonologically and semantically related lexical items are related simply because they are iconic forms; and (C) to determine if any of the CSL, LSF and ASL phonologically and semantically related lexical items are initialized. Analysis of the data revealed that there are numerous identical and similar signs between CSL and Early LSF, and among CSL, LSF, and ASL, indicating that lexical borrowing from CSL was a factor in the development of LSF and ASL. There is a strong likelihood that iconicity accounts for many of the identical and similar lexical signs that are shared among these three signed languages. There is limited evidence of the employment of initialization in the lexical borrowing that took place from CSL to LSF, and then to ASL. This analysis of lexical borrowing provides new information about the historical roots of LSF and ASL and their origins in CSL. Information about the development of ASL, and how CSL and LSF have had an impact on the present-day ASL lexicon, is a significant aspect of ASL literature and is important to include in Deaf Studies and ASL teaching curricula. Advisors/Committee Members: Wilcox, Phyllis Perrin, Wilcox, Sherman E., Shaffer, Barbara, High, Mary J..

Subjects/Keywords: American Sign Language – History

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Cagle, K. M. (2010). EXPLORING THE ANCESTRAL ROOTS OF AMERICAN SIGN LANGUAGE: LEXICAL BORROWING FROM CISTERCIAN SIGN LANGUAGE AND FRENCH SIGN LANGUAGE. (Doctoral Dissertation). University of New Mexico. Retrieved from http://hdl.handle.net/1928/10858

Chicago Manual of Style (16^th Edition):

Cagle, Keith Martin. “EXPLORING THE ANCESTRAL ROOTS OF AMERICAN SIGN LANGUAGE: LEXICAL BORROWING FROM CISTERCIAN SIGN LANGUAGE AND FRENCH SIGN LANGUAGE.” 2010. Doctoral Dissertation, University of New Mexico. Accessed December 12, 2019. http://hdl.handle.net/1928/10858.

MLA Handbook (7^th Edition):

Cagle, Keith Martin. “EXPLORING THE ANCESTRAL ROOTS OF AMERICAN SIGN LANGUAGE: LEXICAL BORROWING FROM CISTERCIAN SIGN LANGUAGE AND FRENCH SIGN LANGUAGE.” 2010. Web. 12 Dec 2019.

Vancouver:

Cagle KM. EXPLORING THE ANCESTRAL ROOTS OF AMERICAN SIGN LANGUAGE: LEXICAL BORROWING FROM CISTERCIAN SIGN LANGUAGE AND FRENCH SIGN LANGUAGE. [Internet] [Doctoral dissertation]. University of New Mexico; 2010. [cited 2019 Dec 12]. Available from: http://hdl.handle.net/1928/10858.

Council of Science Editors:

Cagle KM. EXPLORING THE ANCESTRAL ROOTS OF AMERICAN SIGN LANGUAGE: LEXICAL BORROWING FROM CISTERCIAN SIGN LANGUAGE AND FRENCH SIGN LANGUAGE. [Doctoral Dissertation]. University of New Mexico; 2010. Available from: http://hdl.handle.net/1928/10858

University of the Western Cape

9. Achmed, Imran. Independent hand-tracking from a single two-dimensional view and its application to South African sign language recognition .

Degree: 2014, University of the Western Cape

URL: http://hdl.handle.net/11394/3330

► Hand motion provides a natural way of interaction that allows humans to interact not only with the environment, but also with each other. The effectiveness… (more)

Subjects/Keywords: Sign language; South African sign language recognition; Hand-tracking

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APA (6^th Edition):

Achmed, I. (2014). Independent hand-tracking from a single two-dimensional view and its application to South African sign language recognition . (Thesis). University of the Western Cape. Retrieved from http://hdl.handle.net/11394/3330

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Achmed, Imran. “Independent hand-tracking from a single two-dimensional view and its application to South African sign language recognition .” 2014. Thesis, University of the Western Cape. Accessed December 12, 2019. http://hdl.handle.net/11394/3330.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Achmed, Imran. “Independent hand-tracking from a single two-dimensional view and its application to South African sign language recognition .” 2014. Web. 12 Dec 2019.

Vancouver:

Achmed I. Independent hand-tracking from a single two-dimensional view and its application to South African sign language recognition . [Internet] [Thesis]. University of the Western Cape; 2014. [cited 2019 Dec 12]. Available from: http://hdl.handle.net/11394/3330.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Achmed I. Independent hand-tracking from a single two-dimensional view and its application to South African sign language recognition . [Thesis]. University of the Western Cape; 2014. Available from: http://hdl.handle.net/11394/3330

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of North Texas

10. Viswavarapu, Lokesh Kumar. Real-Time Finger Spelling American Sign Language Recognition Using Deep Convolutional Neural Networks.

Degree: 2018, University of North Texas

URL: https://digital.library.unt.edu/ark:/67531/metadc1404616/

► This thesis presents design and development of a gesture recognition system to recognize finger spelling American Sign Language hand gestures. We developed this solution using… (more)

Subjects/Keywords: American Sign Language Recognition; AI; Machine learning; deep learning; Convolutional neural networks; CNN; Image processing; Computer Vision; ASL

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APA (6^th Edition):

Viswavarapu, L. K. (2018). Real-Time Finger Spelling American Sign Language Recognition Using Deep Convolutional Neural Networks. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc1404616/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Viswavarapu, Lokesh Kumar. “Real-Time Finger Spelling American Sign Language Recognition Using Deep Convolutional Neural Networks.” 2018. Thesis, University of North Texas. Accessed December 12, 2019. https://digital.library.unt.edu/ark:/67531/metadc1404616/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Viswavarapu, Lokesh Kumar. “Real-Time Finger Spelling American Sign Language Recognition Using Deep Convolutional Neural Networks.” 2018. Web. 12 Dec 2019.

Vancouver:

Viswavarapu LK. Real-Time Finger Spelling American Sign Language Recognition Using Deep Convolutional Neural Networks. [Internet] [Thesis]. University of North Texas; 2018. [cited 2019 Dec 12]. Available from: https://digital.library.unt.edu/ark:/67531/metadc1404616/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Viswavarapu LK. Real-Time Finger Spelling American Sign Language Recognition Using Deep Convolutional Neural Networks. [Thesis]. University of North Texas; 2018. Available from: https://digital.library.unt.edu/ark:/67531/metadc1404616/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

11. Jones, Vanessa L. Numeral Incorporation In American Sign Language.

Degree: MA, Linguistics, 2013, University of North Dakota

URL: https://commons.und.edu/theses/1551

► Numeral incorporation is a moderately productive process in ASL which combines a numeral and a base to form a compounded fully formed sign. Numeral-incorporated… (more)

Subjects/Keywords: American Sign Language (ASL); Autosegmental; Morphology; Numeral incorporation; Phonology; Sign Language

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APA (6^th Edition):

Jones, V. L. (2013). Numeral Incorporation In American Sign Language. (Masters Thesis). University of North Dakota. Retrieved from https://commons.und.edu/theses/1551

Chicago Manual of Style (16^th Edition):

Jones, Vanessa L. “Numeral Incorporation In American Sign Language.” 2013. Masters Thesis, University of North Dakota. Accessed December 12, 2019. https://commons.und.edu/theses/1551.

MLA Handbook (7^th Edition):

Jones, Vanessa L. “Numeral Incorporation In American Sign Language.” 2013. Web. 12 Dec 2019.

Vancouver:

Jones VL. Numeral Incorporation In American Sign Language. [Internet] [Masters thesis]. University of North Dakota; 2013. [cited 2019 Dec 12]. Available from: https://commons.und.edu/theses/1551.

Council of Science Editors:

Jones VL. Numeral Incorporation In American Sign Language. [Masters Thesis]. University of North Dakota; 2013. Available from: https://commons.und.edu/theses/1551

University of Arkansas

12. Stauffer, Linda. The Relationship Among Beginning and Advanced American Sign Language Students and Credentialed Interpreters Across Two Domains of Visual Imagery: Vividness and Manipulation.

Degree: PhD, 2010, University of Arkansas

URL: https://scholarworks.uark.edu/etd/2983

► Given the visual-gestural nature of ASL it is reasonable to assume that visualization abilities may be one predictor of aptitude for learning ASL. This… (more)

▼ Given the visual-gestural nature of ASL it is reasonable to assume that visualization abilities may be one predictor of aptitude for learning ASL. This study tested a hypothesis that visualization abilities are a foundational aptitude for learning a signed language and that measurements of these skills will increase as students progress from beginning ASL students to advanced language learners and, ultimately to credentialed interpreters. Participants in this study consisted of 90 beginning and 66 advanced ASL students in five interpreter education programs in four southern states along with 68 credentialed interpreters. Students and interpreters were administered the Vividness of Visual Imagery (WIQ) self-report questionnaire and the objective Mental Rotations Test, Version A (MRTA). All ASL students and their instructors were asked to rate students' sign language competency on the Sign Communication Proficiency Interview Rating Scale. All participants completed demographic questions regarding their age, gender, ethnicity, parental hearing status, number of years using ASL, number of years working with deaf professionals who use ASL, and their interpreting credential(s). Students and their instructors rated students' sign communication proficiency similarly. Beginning ASL students were rated significantly lower than the advanced ASL students by both instructors' rating and students' self-rating. No significant relationships were reported: a) among beginning and advanced students and credentialed interpreters with respect to either the W IQ or the MRT-A, and b) among the students' W IQ and MRT-A scores and instructors' ratings on the SCPI. There was suggestive evidence of an increase in mean W IQ scores from beginning ASL students to advanced ASL students to credentialed interpreters, but not to the level of significance. When advanced ASL students and lower level state credentialed interpreters were removed from analyses, a significant difference in visual vividness was reported. Nationally certified interpreters scored significantly higher than beginning ASL students on the VVIQ, but not the MRT-A. Advisors/Committee Members: Glenn Anderson, Richard Roessler, George Denny.

Subjects/Keywords: Literature; linguistics; American Sign Language; interpreters; visual imagery; visual language; American Sign Language; Visual Studies

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APA (6^th Edition):

Stauffer, L. (2010). The Relationship Among Beginning and Advanced American Sign Language Students and Credentialed Interpreters Across Two Domains of Visual Imagery: Vividness and Manipulation. (Doctoral Dissertation). University of Arkansas. Retrieved from https://scholarworks.uark.edu/etd/2983

Chicago Manual of Style (16^th Edition):

Stauffer, Linda. “The Relationship Among Beginning and Advanced American Sign Language Students and Credentialed Interpreters Across Two Domains of Visual Imagery: Vividness and Manipulation.” 2010. Doctoral Dissertation, University of Arkansas. Accessed December 12, 2019. https://scholarworks.uark.edu/etd/2983.

MLA Handbook (7^th Edition):

Stauffer, Linda. “The Relationship Among Beginning and Advanced American Sign Language Students and Credentialed Interpreters Across Two Domains of Visual Imagery: Vividness and Manipulation.” 2010. Web. 12 Dec 2019.

Vancouver:

Stauffer L. The Relationship Among Beginning and Advanced American Sign Language Students and Credentialed Interpreters Across Two Domains of Visual Imagery: Vividness and Manipulation. [Internet] [Doctoral dissertation]. University of Arkansas; 2010. [cited 2019 Dec 12]. Available from: https://scholarworks.uark.edu/etd/2983.

Council of Science Editors:

Stauffer L. The Relationship Among Beginning and Advanced American Sign Language Students and Credentialed Interpreters Across Two Domains of Visual Imagery: Vividness and Manipulation. [Doctoral Dissertation]. University of Arkansas; 2010. Available from: https://scholarworks.uark.edu/etd/2983

California State University – Northridge

13. Lanker, Mary Kathleen. Communication assessment of deaf persons with language dysfluency.

Degree: MA, Department of Interdisciplinary, 2015, California State University – Northridge

URL: http://hdl.handle.net/10211.3/142131

► Deaf individuals with language dysfluency are faced with barriers and misplaced viewpoints, by mental health providers, when deaf individuals attempt to gain access to mental… (more)

Subjects/Keywords: American Sign Language; Dissertations, Academic ??? CSUN

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APA (6^th Edition):

Lanker, M. K. (2015). Communication assessment of deaf persons with language dysfluency. (Masters Thesis). California State University – Northridge. Retrieved from http://hdl.handle.net/10211.3/142131

Chicago Manual of Style (16^th Edition):

Lanker, Mary Kathleen. “Communication assessment of deaf persons with language dysfluency.” 2015. Masters Thesis, California State University – Northridge. Accessed December 12, 2019. http://hdl.handle.net/10211.3/142131.

MLA Handbook (7^th Edition):

Lanker, Mary Kathleen. “Communication assessment of deaf persons with language dysfluency.” 2015. Web. 12 Dec 2019.

Vancouver:

Lanker MK. Communication assessment of deaf persons with language dysfluency. [Internet] [Masters thesis]. California State University – Northridge; 2015. [cited 2019 Dec 12]. Available from: http://hdl.handle.net/10211.3/142131.

Council of Science Editors:

Lanker MK. Communication assessment of deaf persons with language dysfluency. [Masters Thesis]. California State University – Northridge; 2015. Available from: http://hdl.handle.net/10211.3/142131

Utah Valley University

14. Sidwell, Amber Dawn. CaptureSign: An ASL Note-Taking App.

Degree: 2016, Utah Valley University

URL: http://contentdm.uvu.edu:81/u?/UVUTheses,688

►

American Sign Language (ASL), having recently been granted legitimacy as a genuine language, has steadily increasing demands for instructional tools. Dictionaries, flashcards, and note-taking in… (more)

Subjects/Keywords: American Sign Language; Effective teaching; Educational technology

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APA (6^th Edition):

Sidwell, A. D. (2016). CaptureSign: An ASL Note-Taking App. (Thesis). Utah Valley University. Retrieved from http://contentdm.uvu.edu:81/u?/UVUTheses,688

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Sidwell, Amber Dawn. “CaptureSign: An ASL Note-Taking App.” 2016. Thesis, Utah Valley University. Accessed December 12, 2019. http://contentdm.uvu.edu:81/u?/UVUTheses,688.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Sidwell, Amber Dawn. “CaptureSign: An ASL Note-Taking App.” 2016. Web. 12 Dec 2019.

Vancouver:

Sidwell AD. CaptureSign: An ASL Note-Taking App. [Internet] [Thesis]. Utah Valley University; 2016. [cited 2019 Dec 12]. Available from: http://contentdm.uvu.edu:81/u?/UVUTheses,688.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sidwell AD. CaptureSign: An ASL Note-Taking App. [Thesis]. Utah Valley University; 2016. Available from: http://contentdm.uvu.edu:81/u?/UVUTheses,688

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

15. Godfrey, Lisa Ann Boegner. Characteristics of effective interpreter education programs in the United States.

Degree: 2010, University of Tennessee – Chattanooga

URL: https://scholar.utc.edu/theses/275

► The general purpose of this study was to investigate effective practices of interpreting education programs in the United States as measured by the readiness to… (more)

▼ The general purpose of this study was to investigate effective practices of interpreting education programs in the United States as measured by the readiness to credential gap. The increasing demand for interpreters has created an environment with under-credentialed interpreters and this is compounded by the fact that the field of interpreter education is relatively new and little research has been done regarding interpreter education. There has been much dispute as to the content and experiences sign language interpreting programs need to include, but there have been no clearly identified characteristics of successful interpreter education program s shown to result in graduates who emerge as competent practitioners ready for credentialing. This research identified the readiness to credential gap of programs across the United States and studied characteristics of these programs that are contributors to facilitating graduation success in the credentialing process. When considering the current readiness to credential gap as determined by this study, it is important to note that the gap differs depending on if a graduate is exiting a two-year program or exiting a four-year program. Also there is a difference in the gap based on earning state or national credentials. Findings revealed that graduates earned state level credentials up to two years faster than national level credentials and graduates from four-year programs earned credentials at a faster rate than graduates of two-year programs. Curricular factors that have the largest impact on credentialing rates were the presence of Service Learning and extent of Practicum. Both curricular activities involved extensive real world application of the skills initially acquired in the class-based setting. The study outcomes support practice and application of basics skills in the context within which the skills will be used. “Other than curricular” characteristics that impact credentialing include type of programs, faculty characteristics and out-of-class learning experiences. Conclusions from the study were that first, two-year interpreting programs need to be restructured to better align their curriculum to facilitate student transfer into baccalaureate-level programs. Second, because it is clear that faculty roles are deemed critical, much more needs to be known about the necessary qualifications and skills of faculty. Educational opportunities that foster faculty development need to be expanded. Third, classroom instruction alone is insufficient to produce prepared practitioners and students in training profit substantially form long-term, field-based experiences such as practicum and service learning. Fourth, several literature-based speculations about conditions of education programs that might influence student outcomes (e.g., lack of facilities and characteristics of classroom instruction) were not borne out by the results of this study. Finally, interpreting education programs need to develop and maintain… Advisors/Committee Members: Miller, Ted L., Bernard, Hinsdale, Freeman, John, Winston, Betsey, College of Health, Education, and Professional Studies.

Subjects/Keywords: American Sign Language; Interpreters for the deaf

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APA (6^th Edition):

Godfrey, L. A. B. (2010). Characteristics of effective interpreter education programs in the United States. (Doctoral Dissertation). University of Tennessee – Chattanooga. Retrieved from https://scholar.utc.edu/theses/275

Chicago Manual of Style (16^th Edition):

Godfrey, Lisa Ann Boegner. “Characteristics of effective interpreter education programs in the United States.” 2010. Doctoral Dissertation, University of Tennessee – Chattanooga. Accessed December 12, 2019. https://scholar.utc.edu/theses/275.

MLA Handbook (7^th Edition):

Godfrey, Lisa Ann Boegner. “Characteristics of effective interpreter education programs in the United States.” 2010. Web. 12 Dec 2019.

Vancouver:

Godfrey LAB. Characteristics of effective interpreter education programs in the United States. [Internet] [Doctoral dissertation]. University of Tennessee – Chattanooga; 2010. [cited 2019 Dec 12]. Available from: https://scholar.utc.edu/theses/275.

Council of Science Editors:

Godfrey LAB. Characteristics of effective interpreter education programs in the United States. [Doctoral Dissertation]. University of Tennessee – Chattanooga; 2010. Available from: https://scholar.utc.edu/theses/275

University of California – San Diego

16. Clarino, Christopher Richard. At the Intersection of American Sign Language and the Performer-Percussionist: A Hybrid Practice.

Degree: Music, 2019, University of California – San Diego

URL: http://www.escholarship.org/uc/item/8g53n2tg

► ABSTRACT OF THE DISSERTATIONAt the Intersection of American Sign Languageand the Performer-Percussionist: A Hybrid PracticebyChristopher Richard ClarinoDoctor of Musical Arts in Contemporary Music PerformanceUniversity of… (more)

Subjects/Keywords: Music; American; ASL; Language; Percussion; Sign

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APA (6^th Edition):

Clarino, C. R. (2019). At the Intersection of American Sign Language and the Performer-Percussionist: A Hybrid Practice. (Thesis). University of California – San Diego. Retrieved from http://www.escholarship.org/uc/item/8g53n2tg

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Clarino, Christopher Richard. “At the Intersection of American Sign Language and the Performer-Percussionist: A Hybrid Practice.” 2019. Thesis, University of California – San Diego. Accessed December 12, 2019. http://www.escholarship.org/uc/item/8g53n2tg.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Clarino, Christopher Richard. “At the Intersection of American Sign Language and the Performer-Percussionist: A Hybrid Practice.” 2019. Web. 12 Dec 2019.

Vancouver:

Clarino CR. At the Intersection of American Sign Language and the Performer-Percussionist: A Hybrid Practice. [Internet] [Thesis]. University of California – San Diego; 2019. [cited 2019 Dec 12]. Available from: http://www.escholarship.org/uc/item/8g53n2tg.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Clarino CR. At the Intersection of American Sign Language and the Performer-Percussionist: A Hybrid Practice. [Thesis]. University of California – San Diego; 2019. Available from: http://www.escholarship.org/uc/item/8g53n2tg

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Rochester Institute of Technology

17. Cougler, Jeffrey. American sign language finger challenge.

Degree: School of Design (CIAS), 2010, Rochester Institute of Technology

URL: https://scholarworks.rit.edu/theses/6068

► In current websites and computer assisted learning programs, there are no interactive products that truly present real time fingerspelling in American Sign Language (ASL). At… (more)

Subjects/Keywords: American sign language; Animation; Dactylology; Fingerspelling; Handshapes

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APA (6^th Edition):

Cougler, J. (2010). American sign language finger challenge. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/6068

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Cougler, Jeffrey. “American sign language finger challenge.” 2010. Thesis, Rochester Institute of Technology. Accessed December 12, 2019. https://scholarworks.rit.edu/theses/6068.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Cougler, Jeffrey. “American sign language finger challenge.” 2010. Web. 12 Dec 2019.

Vancouver:

Cougler J. American sign language finger challenge. [Internet] [Thesis]. Rochester Institute of Technology; 2010. [cited 2019 Dec 12]. Available from: https://scholarworks.rit.edu/theses/6068.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Cougler J. American sign language finger challenge. [Thesis]. Rochester Institute of Technology; 2010. Available from: https://scholarworks.rit.edu/theses/6068

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Notre Dame

18. Jace Brittain. Dumm Film, A Novel</h1>.

Degree: MFA, Creative Writing, 2015, University of Notre Dame

URL: https://curate.nd.edu/show/ns064457n3n

The fraying nerves of the geography of Los Angeles is explored through a deaf actress, the great-grandson of an experimental filmmaker, and a collections agent. Advisors/Committee Members: Joyelle Mcsweeney, Committee Member.

Subjects/Keywords: silent film; american sign language; psychogeography

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APA (6^th Edition):

Brittain, J. (2015). Dumm Film, A Novel</h1>. (Thesis). University of Notre Dame. Retrieved from https://curate.nd.edu/show/ns064457n3n

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Brittain, Jace. “Dumm Film, A Novel</h1>.” 2015. Thesis, University of Notre Dame. Accessed December 12, 2019. https://curate.nd.edu/show/ns064457n3n.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Brittain, Jace. “Dumm Film, A Novel</h1>.” 2015. Web. 12 Dec 2019.

Vancouver:

Brittain J. Dumm Film, A Novel</h1>. [Internet] [Thesis]. University of Notre Dame; 2015. [cited 2019 Dec 12]. Available from: https://curate.nd.edu/show/ns064457n3n.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Brittain J. Dumm Film, A Novel</h1>. [Thesis]. University of Notre Dame; 2015. Available from: https://curate.nd.edu/show/ns064457n3n

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Manitoba

19. Hawes, Dareth. The interaction between surrogates and tokens in American Sign Language.

Degree: Linguistics, 2016, University of Manitoba

URL: http://hdl.handle.net/1993/31189

► Speakers of American Sign Language use surrogates and tokens throughout their discourse. Surrogates allow signers to shift roles (or perspectives) and “become” a character or… (more)

Subjects/Keywords: American Sign Language; Surrogates and tokens

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APA (6^th Edition):

Hawes, D. (2016). The interaction between surrogates and tokens in American Sign Language. (Masters Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/31189

Chicago Manual of Style (16^th Edition):

Hawes, Dareth. “The interaction between surrogates and tokens in American Sign Language.” 2016. Masters Thesis, University of Manitoba. Accessed December 12, 2019. http://hdl.handle.net/1993/31189.

MLA Handbook (7^th Edition):

Hawes, Dareth. “The interaction between surrogates and tokens in American Sign Language.” 2016. Web. 12 Dec 2019.

Vancouver:

Hawes D. The interaction between surrogates and tokens in American Sign Language. [Internet] [Masters thesis]. University of Manitoba; 2016. [cited 2019 Dec 12]. Available from: http://hdl.handle.net/1993/31189.

Council of Science Editors:

Hawes D. The interaction between surrogates and tokens in American Sign Language. [Masters Thesis]. University of Manitoba; 2016. Available from: http://hdl.handle.net/1993/31189

Loyola University Chicago

20. Novak, Peter. The Tempest in Translation: Shakespeare and American Sign Language.

Degree: MA, English, 1993, Loyola University Chicago

URL: https://ecommons.luc.edu/luc_theses/3966

Subjects/Keywords: American Sign Language

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APA (6^th Edition):

Novak, P. (1993). The Tempest in Translation: Shakespeare and American Sign Language. (Thesis). Loyola University Chicago. Retrieved from https://ecommons.luc.edu/luc_theses/3966

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Novak, Peter. “The Tempest in Translation: Shakespeare and American Sign Language.” 1993. Thesis, Loyola University Chicago. Accessed December 12, 2019. https://ecommons.luc.edu/luc_theses/3966.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Novak, Peter. “The Tempest in Translation: Shakespeare and American Sign Language.” 1993. Web. 12 Dec 2019.

Vancouver:

Novak P. The Tempest in Translation: Shakespeare and American Sign Language. [Internet] [Thesis]. Loyola University Chicago; 1993. [cited 2019 Dec 12]. Available from: https://ecommons.luc.edu/luc_theses/3966.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Novak P. The Tempest in Translation: Shakespeare and American Sign Language. [Thesis]. Loyola University Chicago; 1993. Available from: https://ecommons.luc.edu/luc_theses/3966

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Tennessee – Knoxville

21. Swaney, Michelle Grace. American Sign Language Curriculum and Materials.

Degree: MS, Teacher Education, 2015, University of Tennessee – Knoxville

URL: https://trace.tennessee.edu/utk_gradthes/3516

► American Sign Language (ASL) began to gain widespread acceptance as a foreign language in the 1990s, but instruction, programming, teaching and learning are still… (more)

Subjects/Keywords: American Sign Language; ASL; American Sign Language Curriculum; Special Education and Teaching

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APA (6^th Edition):

Swaney, M. G. (2015). American Sign Language Curriculum and Materials. (Thesis). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_gradthes/3516

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Swaney, Michelle Grace. “American Sign Language Curriculum and Materials.” 2015. Thesis, University of Tennessee – Knoxville. Accessed December 12, 2019. https://trace.tennessee.edu/utk_gradthes/3516.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Swaney, Michelle Grace. “American Sign Language Curriculum and Materials.” 2015. Web. 12 Dec 2019.

Vancouver:

Swaney MG. American Sign Language Curriculum and Materials. [Internet] [Thesis]. University of Tennessee – Knoxville; 2015. [cited 2019 Dec 12]. Available from: https://trace.tennessee.edu/utk_gradthes/3516.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Swaney MG. American Sign Language Curriculum and Materials. [Thesis]. University of Tennessee – Knoxville; 2015. Available from: https://trace.tennessee.edu/utk_gradthes/3516

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of New Mexico

22. Channer, Caitlin S. Coarticulation in American Sign Language Fingerspelling.

Degree: Department of Linguistics, 2012, University of New Mexico

URL: https://digitalrepository.unm.edu/ling_etds/8

► Fingerspelling is a category of American Sign Language (ASL) signs that are signed sequentially as an alphabetic representation. The present study proposes to examine the… (more)

Subjects/Keywords: American Sign Language; fingerspelling; coarticulation; phonology; sign language; coarticulation model; handshape; reduction

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APA (6^th Edition):

Channer, C. S. (2012). Coarticulation in American Sign Language Fingerspelling. (Masters Thesis). University of New Mexico. Retrieved from https://digitalrepository.unm.edu/ling_etds/8

Chicago Manual of Style (16^th Edition):

Channer, Caitlin S. “Coarticulation in American Sign Language Fingerspelling.” 2012. Masters Thesis, University of New Mexico. Accessed December 12, 2019. https://digitalrepository.unm.edu/ling_etds/8.

MLA Handbook (7^th Edition):

Channer, Caitlin S. “Coarticulation in American Sign Language Fingerspelling.” 2012. Web. 12 Dec 2019.

Vancouver:

Channer CS. Coarticulation in American Sign Language Fingerspelling. [Internet] [Masters thesis]. University of New Mexico; 2012. [cited 2019 Dec 12]. Available from: https://digitalrepository.unm.edu/ling_etds/8.

Council of Science Editors:

Channer CS. Coarticulation in American Sign Language Fingerspelling. [Masters Thesis]. University of New Mexico; 2012. Available from: https://digitalrepository.unm.edu/ling_etds/8

University of California – San Diego

23. Zaremba, Kathryn Davidson. The nature of the semantic scale : evidence from sign language research.

Degree: Linguistics, 2011, University of California – San Diego

URL: http://www.escholarship.org/uc/item/4hc3k8nj

► A difficult learning problem for both children and artificial language learning systems is knowing what is intended to be conveyed based on what is literally… (more)

Subjects/Keywords: American Sign Language Semantics; American Sign Language Coordinate constructions; Language acquisition Measurement; Language acquisition Age factors Testing; Connotation (Linguistics); Implication (Logic)

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APA (6^th Edition):

Zaremba, K. D. (2011). The nature of the semantic scale : evidence from sign language research. (Thesis). University of California – San Diego. Retrieved from http://www.escholarship.org/uc/item/4hc3k8nj

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Zaremba, Kathryn Davidson. “The nature of the semantic scale : evidence from sign language research.” 2011. Thesis, University of California – San Diego. Accessed December 12, 2019. http://www.escholarship.org/uc/item/4hc3k8nj.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Zaremba, Kathryn Davidson. “The nature of the semantic scale : evidence from sign language research.” 2011. Web. 12 Dec 2019.

Vancouver:

Zaremba KD. The nature of the semantic scale : evidence from sign language research. [Internet] [Thesis]. University of California – San Diego; 2011. [cited 2019 Dec 12]. Available from: http://www.escholarship.org/uc/item/4hc3k8nj.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zaremba KD. The nature of the semantic scale : evidence from sign language research. [Thesis]. University of California – San Diego; 2011. Available from: http://www.escholarship.org/uc/item/4hc3k8nj

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Brno University of Technology

24. Zbavitel, Tomáš. Detekce vybraných znaků znakového jazyka .

Degree: 2018, Brno University of Technology

URL: http://hdl.handle.net/11012/82604

► Cílem bakalářské práce je zjistit způsoby detekce znaků znakového jazyka pomocí zpracování senzorických dat. Část této práce tvoří vytvoření dostatečně mohutné množiny dat snímáním téhož… (more)

Subjects/Keywords: Český znakový jazyk; detekce znaků; rozpoznávání znaků; Matlab; Czech sign language; Sign detection; Sign recognition; Matlab

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Zbavitel, T. (2018). Detekce vybraných znaků znakového jazyka . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/82604

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Zbavitel, Tomáš. “Detekce vybraných znaků znakového jazyka .” 2018. Thesis, Brno University of Technology. Accessed December 12, 2019. http://hdl.handle.net/11012/82604.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Zbavitel, Tomáš. “Detekce vybraných znaků znakového jazyka .” 2018. Web. 12 Dec 2019.

Vancouver:

Zbavitel T. Detekce vybraných znaků znakového jazyka . [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2019 Dec 12]. Available from: http://hdl.handle.net/11012/82604.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zbavitel T. Detekce vybraných znaků znakového jazyka . [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/82604

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

25. Kelly, Daniel. Computational Models for the Automatic Learning and Recognition of Irish Sign Language.

Degree: 2010, RIAN

URL: http://eprints.maynoothuniversity.ie/2437/

► This thesis presents a framework for the automatic recognition of Sign Language sentences. In previous sign language recognition works, the issues of; user independent recognition,… (more)

Subjects/Keywords: Computer Science; Computational Models; Automatic Learning; Recognition of Irish Sign Language

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Kelly, D. (2010). Computational Models for the Automatic Learning and Recognition of Irish Sign Language. (Thesis). RIAN. Retrieved from http://eprints.maynoothuniversity.ie/2437/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Kelly, Daniel. “Computational Models for the Automatic Learning and Recognition of Irish Sign Language.” 2010. Thesis, RIAN. Accessed December 12, 2019. http://eprints.maynoothuniversity.ie/2437/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Kelly, Daniel. “Computational Models for the Automatic Learning and Recognition of Irish Sign Language.” 2010. Web. 12 Dec 2019.

Vancouver:

Kelly D. Computational Models for the Automatic Learning and Recognition of Irish Sign Language. [Internet] [Thesis]. RIAN; 2010. [cited 2019 Dec 12]. Available from: http://eprints.maynoothuniversity.ie/2437/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kelly D. Computational Models for the Automatic Learning and Recognition of Irish Sign Language. [Thesis]. RIAN; 2010. Available from: http://eprints.maynoothuniversity.ie/2437/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of the Western Cape

26. Segers, Vaughn Mackman. The efficacy of the Eigenvector approach to South African sign language identification .

Degree: 2010, University of the Western Cape

URL: http://hdl.handle.net/11394/2502

► The communication barriers between deaf and hearing society mean that interaction between these communities is kept to a minimum. The South African Sign Language research… (more)

Subjects/Keywords: Image processing; Digital techniques; Eigenvectors; Optical pattern recognition; Sign language

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Segers, V. M. (2010). The efficacy of the Eigenvector approach to South African sign language identification . (Thesis). University of the Western Cape. Retrieved from http://hdl.handle.net/11394/2502

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Segers, Vaughn Mackman. “The efficacy of the Eigenvector approach to South African sign language identification .” 2010. Thesis, University of the Western Cape. Accessed December 12, 2019. http://hdl.handle.net/11394/2502.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Segers, Vaughn Mackman. “The efficacy of the Eigenvector approach to South African sign language identification .” 2010. Web. 12 Dec 2019.

Vancouver:

Segers VM. The efficacy of the Eigenvector approach to South African sign language identification . [Internet] [Thesis]. University of the Western Cape; 2010. [cited 2019 Dec 12]. Available from: http://hdl.handle.net/11394/2502.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Segers VM. The efficacy of the Eigenvector approach to South African sign language identification . [Thesis]. University of the Western Cape; 2010. Available from: http://hdl.handle.net/11394/2502

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of the Western Cape

27. Adam, Jameel. Video annotation wiki for South African sign language .

Degree: 2011, University of the Western Cape

URL: http://hdl.handle.net/11394/2029

► The SASL project at the University of the Western Cape aims at developing a fully automated translation system between English and South African Sign Language… (more)

Subjects/Keywords: Sign language; Optical pattern recognition; Image processing; Digital video; South Africa

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Adam, J. (2011). Video annotation wiki for South African sign language . (Thesis). University of the Western Cape. Retrieved from http://hdl.handle.net/11394/2029

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Adam, Jameel. “Video annotation wiki for South African sign language .” 2011. Thesis, University of the Western Cape. Accessed December 12, 2019. http://hdl.handle.net/11394/2029.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Adam, Jameel. “Video annotation wiki for South African sign language .” 2011. Web. 12 Dec 2019.

Vancouver:

Adam J. Video annotation wiki for South African sign language . [Internet] [Thesis]. University of the Western Cape; 2011. [cited 2019 Dec 12]. Available from: http://hdl.handle.net/11394/2029.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Adam J. Video annotation wiki for South African sign language . [Thesis]. University of the Western Cape; 2011. Available from: http://hdl.handle.net/11394/2029

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of the Western Cape

28. Jacobs, Kurt. South African Sign Language Hand Shape and Orientation Recognition on Mobile Devices Using Deep Learning .

Degree: 2017, University of the Western Cape

URL: http://hdl.handle.net/11394/5647

► In order to classify South African Sign Language as a signed gesture, five fundamental parameters need to be considered. These five parameters to be considered… (more)

Subjects/Keywords: South African Sign Language; Deep Learning techniques; Hand shape recognition

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Jacobs, K. (2017). South African Sign Language Hand Shape and Orientation Recognition on Mobile Devices Using Deep Learning . (Thesis). University of the Western Cape. Retrieved from http://hdl.handle.net/11394/5647

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Jacobs, Kurt. “South African Sign Language Hand Shape and Orientation Recognition on Mobile Devices Using Deep Learning .” 2017. Thesis, University of the Western Cape. Accessed December 12, 2019. http://hdl.handle.net/11394/5647.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Jacobs, Kurt. “South African Sign Language Hand Shape and Orientation Recognition on Mobile Devices Using Deep Learning .” 2017. Web. 12 Dec 2019.

Vancouver:

Jacobs K. South African Sign Language Hand Shape and Orientation Recognition on Mobile Devices Using Deep Learning . [Internet] [Thesis]. University of the Western Cape; 2017. [cited 2019 Dec 12]. Available from: http://hdl.handle.net/11394/5647.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jacobs K. South African Sign Language Hand Shape and Orientation Recognition on Mobile Devices Using Deep Learning . [Thesis]. University of the Western Cape; 2017. Available from: http://hdl.handle.net/11394/5647

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Texas – Austin

29. Wynne, Michael Francis, Jr. Joint usage in sign language acquisition : a pedagogical model.

Degree: MEd, Foreign Language Education, 2013, University of Texas – Austin

URL: http://hdl.handle.net/2152/26811

► This paper utilizes prior studies attempting to explain different possible phonological production errors among adults who learn American Sign Language (ASL) as a second language… (more)

Subjects/Keywords: American Sign Language; Phonology; Joint usage; Second Language Acquisition

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Wynne, Michael Francis, J. (2013). Joint usage in sign language acquisition : a pedagogical model. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/26811

Chicago Manual of Style (16^th Edition):

Wynne, Michael Francis, Jr. “Joint usage in sign language acquisition : a pedagogical model.” 2013. Masters Thesis, University of Texas – Austin. Accessed December 12, 2019. http://hdl.handle.net/2152/26811.

MLA Handbook (7^th Edition):

Wynne, Michael Francis, Jr. “Joint usage in sign language acquisition : a pedagogical model.” 2013. Web. 12 Dec 2019.

Vancouver:

Wynne, Michael Francis J. Joint usage in sign language acquisition : a pedagogical model. [Internet] [Masters thesis]. University of Texas – Austin; 2013. [cited 2019 Dec 12]. Available from: http://hdl.handle.net/2152/26811.

Council of Science Editors:

Wynne, Michael Francis J. Joint usage in sign language acquisition : a pedagogical model. [Masters Thesis]. University of Texas – Austin; 2013. Available from: http://hdl.handle.net/2152/26811

Western Carolina University

30. Cordova, Veronica Yenquenida Flamenco. Finger placement correction for static gesture recognition in American Sign Language.

Degree: 2014, Western Carolina University

URL: http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=16451

► Within the past few years, research involving gesture recognition has flourished and has led to new and improved programs assisting people who communicate with sign… (more)

Subjects/Keywords: American Sign Language – Study and teaching – Computer programs; American Sign Language – Study and teaching – Technological innovations; American Sign Language – Computer-assisted instruction

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Cordova, V. Y. F. (2014). Finger placement correction for static gesture recognition in American Sign Language. (Masters Thesis). Western Carolina University. Retrieved from http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=16451

Chicago Manual of Style (16^th Edition):

Cordova, Veronica Yenquenida Flamenco. “Finger placement correction for static gesture recognition in American Sign Language.” 2014. Masters Thesis, Western Carolina University. Accessed December 12, 2019. http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=16451.

MLA Handbook (7^th Edition):

Cordova, Veronica Yenquenida Flamenco. “Finger placement correction for static gesture recognition in American Sign Language.” 2014. Web. 12 Dec 2019.

Vancouver:

Cordova VYF. Finger placement correction for static gesture recognition in American Sign Language. [Internet] [Masters thesis]. Western Carolina University; 2014. [cited 2019 Dec 12]. Available from: http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=16451.

Council of Science Editors:

Cordova VYF. Finger placement correction for static gesture recognition in American Sign Language. [Masters Thesis]. Western Carolina University; 2014. Available from: http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=16451

Open Access Theses and Dissertations