EEG Based Automatic Left-right hand Movement Classification

摘要：

As a research focus in bio-rehabilitation field, Brain-Computer Interface that can efficiently improve or recover self-care ability of disabled people has obtained fast development in recent years. In this paper, the phenomenon of event-related de-synchronization in EEG was pre-processed and features were extracted by using common space pattern filtering algorithm. Higher classification accuracy was then obtained by employing C-SVM for left-right hand movement discrimination. Since the effectiveness and simplicity of the proposed scheme, it can be used as an on-line classification algorithm in BCI system.

关键词： EEG Left-right hand movement classification Event-related de-synchronization CSP filtering SVM BCI

作者: Fei Wang Kijun Kim Shiguang Wen Yuzhong Zhang Chengdong Wu

作者单位: College of Information Science & Engineering, Northeastern University, Shenyang 110819, China State College of Information Science & Engineering, Northeastern University, Shenyang 110819, China

会议类型: 国际会议

会议名称: The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)

会议地点: 太原

会议语种:英文

页码: 1481-1484

在线出版日期: 2012-05-23（万方平台首次上网日期，不代表论文的发表时间）