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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
Department机器人学研究室
Conference NameInternational Multi-Conference on Complexity, Informatics and Cybernetics
Conference DateApril 6-9, 2010
Conference PlaceOrlando, FL
Author of SourceInt Inst Informat & Syst
Source PublicationIMCIC 2010: INTERNATIONAL MULTI-CONFERENCE ON COMPLEXITY, INFORMATICS AND CYBERNETICS, VOL II
PublisherINT INST INFORMATICS & SYSTEMICS
Publication PlaceORLANDO
2010
Pages170-175
Indexed ByEI ; CPCI(ISTP)
EI Accession number20174504379141
WOS IDWOS:000391416900032
Contribution Rank1
ISBN978-1-934272-88-6
KeywordPattern Recognition Eeg Brain-computer Interface Prosthesis Hand
AbstractFor 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 classifiers-based method is better than BP neural network on the EEG pattern recognition for multi-complicated hand activities.
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/19875
Collection机器人学研究室
Corresponding AuthorZhang XD(张小栋)
Affiliation1.School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi Province, 710049, China
2.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning Province, 110016, China
Recommended Citation
GB/T 7714
Zhang XD,Wang YX,Li YN,et al. An Approach for Pattern Recognition of EEG Applied in Prosthetic Hand Drive[C]//Int Inst Informat & Syst. ORLANDO:INT INST INFORMATICS & SYSTEMICS,2010:170-175.
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