Open Access Theses and Dissertations

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You searched for subject:(InMoov). Showing records 1 – 3 of 3 total matches.

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Brno University of Technology

1. Brázdil, Štěpán. Řízení aktivní protézy horní končetiny: Active upper limb prosthesis.

Degree: 2020, Brno University of Technology

URL: http://hdl.handle.net/11012/189148 

This thesis focuses on the field of prosthetics, especially the issue of active prosthesis control. The goal is to perform a comprehensive analysis, design and construction of a prosthetic system that, based on the analysis of sensory data (such as an EMG signal from multiple channels), can correctly classify a gesture and a subsequent moving of the limb model. The first parts of the thesis are an important description of the critical components and important parameters of the active prosthesis system, including comparison and selection of available open source solutions. Next is a proposal of interconnection and description of individual hardware and software components. It also includes documentation of the real constructed system, which consists of the InMoov robotic hand, the Raspberry Pi controller and accessories. The results are critically evaluated in the last part of this work. Advisors/Committee Members: Harabiš, Vratislav (advisor), Sekora, Jiří (referee).

Subjects/Keywords: Aktivní protéza; EMG; InMoov; klasifikace; řízení; Raspberry Pi; Active prosthesis; EMG; InMoov; classification; control; Raspberry Pi

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

APA (6th Edition):

Brázdil, . (2020). Řízení aktivní protézy horní končetiny: Active upper limb prosthesis. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/189148

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):

Brázdil, Štěpán. “Řízení aktivní protézy horní končetiny: Active upper limb prosthesis.” 2020. Thesis, Brno University of Technology. Accessed January 26, 2021. http://hdl.handle.net/11012/189148.

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

MLA Handbook (7th Edition):

Brázdil, Štěpán. “Řízení aktivní protézy horní končetiny: Active upper limb prosthesis.” 2020. Web. 26 Jan 2021.

Vancouver:

Brázdil . Řízení aktivní protézy horní končetiny: Active upper limb prosthesis. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Jan 26]. Available from: http://hdl.handle.net/11012/189148.

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

Council of Science Editors:

Brázdil . Řízení aktivní protézy horní končetiny: Active upper limb prosthesis. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/189148

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

2. Sidher, Abhijaat. Prosthesis Design and Object Recognition Based Grasping of a 3D Printed Anthropomorphic Artificial Hand.

Degree: 2017, University of Nevada – Reno

URL: http://hdl.handle.net/11714/2054 

This work presents the design of a cost effective, open-source, 3D printed prosthetic hand with the implementation of object recognition in order to reduce the cognitive burden of amputees through automated grasping. Due to the high cost of modern, active, prostheses, an open-source 3D printable anthropomorphic artificial hand is selected for the purpose of designing a prosthesis.Through the use of image processing, some current prosthetic hands are capable of selecting automated grasps via object recognition. However, many of these methods are computationally heavy, and require large amount of training data for daily usage. Such computationally heavy methods also utilize myoelectric control, which requires training for an extended period of time. In this work, by utilizing intrinsic information of an object, such as color and edge information, the computational time is reduced while still providing the user with automated grasping, without the need for myoelectric control. In future works, illumination invariant techniques may be used to increase the efficiency of color constancy.In addition to this work, modifications and functional enhancements are made to the open-source artificial hand design, called InMoov, to enable more robust grasping techniques. The flexion and extension of the InMoov hand digits are consistent without any form of control feedback, however, the digits displayed massive overshoot in trajectory. An open-loop control method is developed to smoothen artificial hand digit trajectory while reducing trajectory overshoot and transient vibrations. By using this method, the prosthesis digit trajectory is tested against the trajectory of the human finger, and found to be more consistent. Future works may focus on closed-loop control which rely upon more sensors to control the grasping of an object. Advisors/Committee Members: Shen, Yantao (advisor), Zhu, Xiaoshan (committee member), La, Hung (committee member).

Subjects/Keywords: 3D Printed; Artificial Hand; Automated Grasp; InMoov; Object Recognition; Prosthesis Design

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

APA (6th Edition):

Sidher, A. (2017). Prosthesis Design and Object Recognition Based Grasping of a 3D Printed Anthropomorphic Artificial Hand. (Thesis). University of Nevada – Reno. Retrieved from http://hdl.handle.net/11714/2054

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):

Sidher, Abhijaat. “Prosthesis Design and Object Recognition Based Grasping of a 3D Printed Anthropomorphic Artificial Hand.” 2017. Thesis, University of Nevada – Reno. Accessed January 26, 2021. http://hdl.handle.net/11714/2054.

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

MLA Handbook (7th Edition):

Sidher, Abhijaat. “Prosthesis Design and Object Recognition Based Grasping of a 3D Printed Anthropomorphic Artificial Hand.” 2017. Web. 26 Jan 2021.

Vancouver:

Sidher A. Prosthesis Design and Object Recognition Based Grasping of a 3D Printed Anthropomorphic Artificial Hand. [Internet] [Thesis]. University of Nevada – Reno; 2017. [cited 2021 Jan 26]. Available from: http://hdl.handle.net/11714/2054.

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

Council of Science Editors:

Sidher A. Prosthesis Design and Object Recognition Based Grasping of a 3D Printed Anthropomorphic Artificial Hand. [Thesis]. University of Nevada – Reno; 2017. Available from: http://hdl.handle.net/11714/2054

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


Brno University of Technology

3. Sláma, Pavel. Řízení robotické ruky pomocí virtuální reality: Robotic hand controll using virtual reality.

Degree: 2019, Brno University of Technology

URL: http://hdl.handle.net/11012/68267 

This bachelor thesis deals with possible solution of controlling robotic hand with virtual reality. To realize this work is used a prosthetic hand from the InMoov project. This thesis describes basic principles of 3D print technology and deals with materials suitable for manufacturing of a chosen robotic hand. As next describes function and controlling of servos, hand control using prototyping platform Arduino communicating with the computer with MyRobotLab software support. To capture movement is used motion sensor for virtual reality Leap Motion. Advisors/Committee Members: Vyroubal, Petr (advisor), Bílek, Michal (referee).

Subjects/Keywords: Protetická ruka; Robotická ruka; InMoov; 3D tisk; Servomotor; Arduino; MyRobotLab; Leap Motion; Prosthetic hand; Robotic hand; InMoov; 3D print; Servo; Arduino; MyRobotLab; Leap Motion

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❌

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

APA (6th Edition):

Sláma, P. (2019). Řízení robotické ruky pomocí virtuální reality: Robotic hand controll using virtual reality. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/68267

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):

Sláma, Pavel. “Řízení robotické ruky pomocí virtuální reality: Robotic hand controll using virtual reality.” 2019. Thesis, Brno University of Technology. Accessed January 26, 2021. http://hdl.handle.net/11012/68267.

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

MLA Handbook (7th Edition):

Sláma, Pavel. “Řízení robotické ruky pomocí virtuální reality: Robotic hand controll using virtual reality.” 2019. Web. 26 Jan 2021.

Vancouver:

Sláma P. Řízení robotické ruky pomocí virtuální reality: Robotic hand controll using virtual reality. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Jan 26]. Available from: http://hdl.handle.net/11012/68267.

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

Council of Science Editors:

Sláma P. Řízení robotické ruky pomocí virtuální reality: Robotic hand controll using virtual reality. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/68267

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

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