| Issue |
ITM Web Conf.
Volume 7, 2016
3rd Annual International Conference on Information Technology and Applications (ITA 2016)
|
|
|---|---|---|
| Article Number | 09017 | |
| Number of page(s) | 6 | |
| Section | Session 9: Computer Science and its Applications | |
| DOI | https://doi.org/10.1051/itmconf/20160709017 | |
| Published online | 21 November 2016 | |
Virtual Control of Prosthetic Hand Based on Grasping Patterns and Estimated Force from Semg
School of Mechanical & Electrical Engineering, Central South University, Changsha, 410083, China
a Corresponding author: Hua Deng: hdeng@csu.edu.cn
Myoelectric prosthetic hands aim to serve upper limb amputees. The myoelectric control of the hand grasp action is a kind of real-time or online method. Thus it is of great necessity to carry on a study of online prosthetic hand electrical control. In this paper, the strategy of simultaneous EMG decoding of grasping patterns and grasping force was realized by controlling a virtual multi-degree-freedom prosthetic hand and a real one-degree-freedom prosthetic hand simultaneously. The former realized the grasping patterns from the recognition of the sEMG pattern. The other implemented the grasping force from sEMG force decoding. The results show that the control method is effective and feasible.
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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