An Approach for Pattern Recognition of EEG Applied in Prosthetic Hand Drive
Zhang XD(张小栋); Wang YX(王云霞); Li YN(李耀楠); Zhang, Jinjin
刊名Journal of Systemics, Cybernetics and Informatics
2011
卷号9期号:6页码:51-56
关键词Pattern Recognition EEG Brain-Computer Interface Prosthesis hand
ISSN号1690-4524
通讯作者张小栋
产权排序1
中文摘要For controlling the prosthetic hand by only electroencephalogram (EEG), it has become the hot spot in robotics research to set up a direct communication and control channel between human brain and prosthetic hand. In this paper, the EEG signal is analyzed based on multi-complicated hand activities. And then, two methods of EEG pattern recognition are investigated, a neural prosthesis hand system driven by BCI is set up, which can complete four kinds of actions (arm's free state, arm movement, hand crawl, hand open). Through several times of off-line and on-line experiments, the result shows that the neural prosthesis hand system driven by BCI is reasonable and feasible, the C-support vector classifiersbased method is better than BP neural network on the EEG pattern recognition for multi-complicated hand activities.
语种英语
内容类型期刊论文
源URL[http://ir.sia.cn/handle/173321/19886]  
专题沈阳自动化研究所_机器人学研究室
推荐引用方式
GB/T 7714
Zhang XD,Wang YX,Li YN,et al. An Approach for Pattern Recognition of EEG Applied in Prosthetic Hand Drive[J]. Journal of Systemics, Cybernetics and Informatics,2011,9(6):51-56.
APA Zhang XD,Wang YX,Li YN,&Zhang, Jinjin.(2011).An Approach for Pattern Recognition of EEG Applied in Prosthetic Hand Drive.Journal of Systemics, Cybernetics and Informatics,9(6),51-56.
MLA Zhang XD,et al."An Approach for Pattern Recognition of EEG Applied in Prosthetic Hand Drive".Journal of Systemics, Cybernetics and Informatics 9.6(2011):51-56.
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