Vilouras, A. , Heidari, H. , Navaraj, W. T. and Dahiya, R. (2016) At-home computer-aided myoelectric training system for wrist prosthesis. In: Bello, F., Kajimoto, H. and Visell, Y. (eds.) Haptics: Perception, Devices, Control, and Applications. Series: Lecture notes in computer science (9775). Springer International Publishing, pp. 284-293. ISBN 9783319423234 (doi: 10.1007/978-3-319-42324-1_28)
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Abstract
Development of tools for rehabilitation and restoration of the movement after amputation can benefit from the real time interactive virtual animation model of the human hand. Here, we report a computer-aided training/learning system for wrist disarticulated amputees, using the open source integrated development environment called “Processing”. This work also presents the development of a low-cost surface Electro-MyoGraphic (sEMG) interface, which is an ideal tool for training and rehabilitation applications. The processed sEMG signals are encoded after digitization to control the animated hand. Experimental results demonstrate the effectiveness of the sEMG control system in acquiring sEMG signals for real-time control. Users have also the ability to connect their prostheses with the training system and observe its operation for a more explicit demonstration of movements.
| Item Type: | Book Sections |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Vilouras, Anastasios and Heidari, Dr Hadi and Dahiya, Professor Ravinder and Navaraj, Mr William |
| Authors: | Vilouras, A., Heidari, H., Navaraj, W. T., and Dahiya, R. |
| College/School: | College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering |
| Journal Name: | Lecture Notes in Computer Science |
| Publisher: | Springer International Publishing |
| ISSN: | 0302-9743 |
| ISBN: | 9783319423234 |
| Copyright Holders: | Copyright © 2016 Springer International Publishing |
| Publisher Policy: | Reproduced in accordance with the copyright policy of the publisher |
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