Multi-channel sEMG Detection and Pattern Recognition

被引：0
|
作者：
Li, Yang [1 ]
Tian, Yantao [1 ]
Xu, Zhuojun [1 ]
Yang, Zhiming [1 ]
机构：
[1] Jilin Univ, Sch Commun Engn, Changchun 130023, Peoples R China
来源：
PROCEEDINGS OF THE 2014 9TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA) | 2014年
关键词：
sEMG; number of channel and recognition rate; activity detecting; feature extraction; pattern recognizing;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this article, the database of sEMG corresponding to the six gestures with two, four and eight channels is collected and established through increasing the number of surface electrode muscle telecommunication reasonably. Two-channel method used in the previous studies in laboratory is improved to make the method suitable for four-channel and eight-channel. On this basis, the activity of sEMG is detected, the feature of sEMG is extracted and the pattern of six gestures is recognized. By analysing the experimental result, an increase in the number of channel is beneficial to the improvement of recognition rate.
引用
收藏
页码：845 / 850
页数：6
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