A Novel Feature Optimization for Wearable Human-Computer Interfaces Using Surface Electromyography Sensors

• Published in: Sensors (Basel, Switzerland) Vol. 18; no. 3; p. 869
• Main Authors: Sun, Han, Zhang, Xiong, Zhao, Yacong, Zhang, Yu, Zhong, Xuefei, Fan, Zhaowen
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 15.03.2018; MDPI
• Subjects: channel selection; Electromyography; feature optimization; human-computer interface; multi-class recognition; People with disabilities; support vector machine; surface electromyogram; channel selection; surface electromyogram; support vector machine; feature optimization; multi-class recognition; human-computer interface

The novel human-computer interface (HCI) using bioelectrical signals as input is a valuable tool to improve the lives of people with disabilities. In this paper, surface electromyography (sEMG) signals induced by four classes of wrist movements were acquired from four sites on the lower arm with our...