Research of Hand Gesture Identification of sEMG based on SCICA
Traditional hand gesture identification systems require designers to use multiple serial interfaces or multiplexer as tools to record surface Electromyography (sEMG). These ways lead to complicated circuit connection and unreliability of hardware. It is therefore imperative to have good methods to explore a more suitable design choice, which can avoid the problems mentioned above as more as possible. This paper presents a hand gesture identification system of sEMG based on Single Channel Independent Component Analysis (SCICA) which can avoid the problems mentioned above and reduce the noise which accompanied witb sEMG signaL It also provides high-level modeling, programming methods and running results for this system in terms of software and hardware. More specifically, real time communication and identification are accomplished accurately between the hand and identification system by taking advantage of USB interface and VC++ s2008. This system also can manage the historical sEMG signals by using database. Furthermore, it has sucb advantages as low cost and easy to maintain and promote.
SCICA PaUern ldentification DAO sEMG
Guo Yina
Department of Electronic and Communication Taiyuan University of Science and Technology ShanXi Taiyuan 030024, China
国际会议
2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)
大连
英文
350-353
2010-07-05（万方平台首次上网日期，不代表论文的发表时间）