Authors
Wanfen Xu, Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, ChinaFollow
Gongfa Li, Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China\\ Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan 430081, ChinaFollow
Disi Chen, Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, ChinaFollow
Zhe Li, Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan 430081, ChinaFollow
Jianyi Kong, Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China\\ Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan 430081, ChinaFollow
Guozhang Jiang, Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China\\ Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan 430081, ChinaFollow
Author Country (or Countries)
China
Abstract
In order to make prosthetic hands acting like human hands as much as possible and improve the biomimetics and intelligence, it is necessary to add multi-sensor perception system on electric prosthetic hand system. In this paper, the theory of sEMG and its signal analysis technology are introduced. SEMG sensing techniques for hand prostheses are surveyed. These sensing techniques include tactile and slip sensing, proximity sensing, cold and hot sensing, and multi-sensing fusion. Meanwhile these prosthetic hands sensors and sEMG sensing techniques are compared. Some further researches and developing trend of sEMG sensing techniques for hand prostheses are indicated.
Digital Object Identifier (DOI)
http://dx.doi.org/10.18576/amis/110320
Recommended Citation
Xu, Wanfen; Li, Gongfa; Chen, Disi; Li, Zhe; Kong, Jianyi; and Jiang, Guozhang
(2017)
"Development of sEMG Sensing Techniques for Hand Prostheses,"
Applied Mathematics & Information Sciences: Vol. 11:
Iss.
3, Article 20.
DOI: http://dx.doi.org/10.18576/amis/110320
Available at:
https://digitalcommons.aaru.edu.jo/amis/vol11/iss3/20
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