Human-computer Interaction System Design Based on Surface EMG Signals

被引：0

作者：

Li, Han ^{[1
]}

Chen, Xi ^{[1
]}

Li, Pengfei ^{[1
]}

机构：

[1] Beijing Inst Technol, Natl Key Lab Mech Engn & Control, Beijing 100081, Peoples R China

来源：

2014 PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON MODELLING, IDENTIFICATION & CONTROL (ICMIC) | 2014年

关键词：

surface EMG; AR model; human-computer interaction;

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：

Surface electromyography signals (SEMG) aquisition is a kind of multi-channel non-invasive detection method. In this paper, we designed a human-computer interaction system based on the multi-channel SEMG of hand motions. The system detects the forearm muscle multi-channel SEMG, the AR model is established to extract the signal eigenvalue and the artificial neural network classifier (BP) is utilized to distinguish the four different gestures that the results of pattern recognition are applied as the quad copter control signals. At last, the results of pattern recognition are used as control signal of aircraft to complete real-time interactive process.

引用

页码：94 / 98

页数：5

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