Proceedings of the 7th International Conference on Management, Education, Information and Control (MEICI 2017)

Research on EMG Signal Extraction Based on Biomimetic Hand

Authors
Wanfen Xu, Ying Sun, Cuiqiao Li
Corresponding Author
Wanfen Xu
Available Online October 2017.
DOI
10.2991/meici-17.2017.156How to use a DOI?
Keywords
EMG; Bionic hand; Signal feature extraction
Abstract

EMG is a signal which could reflect the information of human body's movement in residual limb muscle group. As a source of information, it could control the bionic prosthesis to complete the multi-degree of freedom of action. EMG prosthesis controlled the bionic prosthesis through the body's own physiological signal. It is remarkable significant for the disabled users that if the bionic prosthesis could understand the movement of the disabled users will. The purpose of the EMG signal acquisition is driving a bionic hand which could help the hand disabilities to achieve grasping, pushing, taking, holding etc. EMG prosthetic is a complex system, which involving multidisciplinary disciplines. And this paper mainly introduces the method of EMG extraction.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 7th International Conference on Management, Education, Information and Control (MEICI 2017)
Series
Advances in Intelligent Systems Research
Publication Date
October 2017
ISBN
978-94-6252-412-5
ISSN
1951-6851
DOI
10.2991/meici-17.2017.156How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Wanfen Xu
AU  - Ying Sun
AU  - Cuiqiao Li
PY  - 2017/10
DA  - 2017/10
TI  - Research on EMG Signal Extraction Based on Biomimetic Hand
BT  - Proceedings of the 7th International Conference on Management, Education, Information and Control (MEICI 2017)
PB  - Atlantis Press
SP  - 786
EP  - 790
SN  - 1951-6851
UR  - https://doi.org/10.2991/meici-17.2017.156
DO  - 10.2991/meici-17.2017.156
ID  - Xu2017/10
ER  -