Design of a Surface EMG based Human-machine Interface for an Intelligent Wheelchair

摘要：

This paper presents a novel human-machine interface to control an intelligent wheelchair based on surface electromyography (sEMG) signals. Forehead sEMG signals generated by the facial movements are obtained and analysed by using a CyberLink sensing device. The autoregressive (AR) model is used to extract sEMG features. Then, the BP artificial neural network (BPANN) improved by Levenberg-Marquardt algorithm is proposed to recognize different facial movement patterns. A human-machine interface (HMI) is designed to map facial movement patterns into corresponding control commands. The experiment results show that the method is simple, real-time and at a high recognition rate. It lays the foundation for us to use forehead sEMG signals based control of wheelchairs in real world applications.

关键词： intelligent wheelchair sEMG HMI AR model BP artificial neural network

作者: Zhang Yi Dai Lingling Luo Yuan Hu Huosheng

作者单位: National Engineering Research & Development Center for Information Accessibility,Research Center of School of Computer Science & Electronic Engineering,University of Essex,Colchester CO4 3SQ,U.K.

会议类型: 国际会议

会议名称: 2011 10th International Conference on Electronic Measurement & Instruments(第十届电子测量与仪器国际会议 ICEMI2011)

会议地点: 成都

会议语种:英文

页码: 852-856

在线出版日期: 2011-08-16（万方平台首次上网日期，不代表论文的发表时间）