Design of A Virtual Reality System based on Wireless Surface Electromyography Signals

Xiaoou Li¹, Zhiyong Zhou², Wanyang Liu³, Mengjie Ji³

 

¹ College of Medical Instruments, Shanghai University of Medicine & Health Sciences, Shanghai 201318, China

² School of Design and Art , Shanghai Dianji University, Shanghai 200240, China

³ School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China

Phone:+86-021-65882739 E-mail:bradyli@163.com

 

Abstract: 

A virtual reality real-time control system based on wireless surface electromyography (sEMG) is designed. The system consisted of four parts: real-time myoelectricity signal detection and segmentation, feature extraction, classification identification and control instruction. Four kinds of action sEMG control in virtual kitchen were completed. The experimental results showed that this system could perform the real-time control of virtual kitchen action, and the average online identification accuracy was 90.31%. The system can be used for muscle rehabilitation training, and provide immersive virtual kitchen scene.

 

Keywords: 

surface electromyography, virtual reality, feature extraction, real-time control

pages: 

33-36

DOI: 

https://doi.org/10.35745/ecei2019v2.009

Year: 

2019

Published in: 

2nd Eurasian Conference on Educational Innovation 2019

Full paper download: 

33-36.pdf