Review on Real-Time EMG Acquisition and Hand Gesture Recognition system

被引：0
|
作者：
Patil, Nilima Mansing [1 ]
Patil, S. R. [1 ]
机构：
[1] Bharati Vidyapeeth Coll Engn Women, Dept Elect & Telecommun, Pune 46, Maharashtra, India
来源：
2017 INTERNATIONAL CONFERENCE OF ELECTRONICS, COMMUNICATION AND AEROSPACE TECHNOLOGY (ICECA), VOL 1 | 2017年
关键词：
Electromyography (EMG); hand gesture recognition; human-machine interface; PATTERN-RECOGNITION; SURFACE EMG; PLATFORM;
D O I：
暂无
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
A large number of impairments and disabilities in human body is increasing day by day. So to improve the quality of life of disabled people researchers think on the necessity of simple and natural human-machine control interface. For the human-machine interface various biomedical signals acquired from a specialized tissue, organ or cell system like the nervous system. Bio signal like EMG signal is used in various applications including identifying neuromuscular diseases, control signal for prosthetic devices, controlling machines, robots etc. EMG based hand gesture can help to develop good human-machine interface. This present an embedded solution for real-time EMG based hand gesture recognition. It involves acquisition of EMG signal, hand gesture recognition and controlling. EMG based hand gesture recognition is easy to build and a low cost system.
引用
收藏
页码：694 / 696
页数：3
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