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Front. Inform. Technol. Electron. Eng.  2010, Vol. 11 Issue (8): 587-597    DOI: 10.1631/jzus.C0910530
    
A P300 based online brain-computer interface system for virtual hand control
Wei-dong Chen1,2, Jian-hui Zhang1,2, Ji-cai Zhang1,2, Yi Li1,2, Yu Qi1,2, Yu Su1,2, Bian Wu1,3, Shao-min Zhang1,3, Jian-hua Dai1,2, Xiao-xiang Zheng*,1,3, Dong-rong Xu1,4,5
1 Qiushi Academy for Advanced Studies, Zhejiang University, Hangzhou 310027, China 2 School of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China 3 Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China 4 MRI Unit, Department of Psychiatry, Columbia University College of Physicians and Surgeons, New York, NY 10032, USA 5 New York State Psychiatric Institute, New York, NY 10032, USA
A P300 based online brain-computer interface system for virtual hand control
Wei-dong Chen1,2, Jian-hui Zhang1,2, Ji-cai Zhang1,2, Yi Li1,2, Yu Qi1,2, Yu Su1,2, Bian Wu1,3, Shao-min Zhang1,3, Jian-hua Dai1,2, Xiao-xiang Zheng*,1,3, Dong-rong Xu1,4,5
1 Qiushi Academy for Advanced Studies, Zhejiang University, Hangzhou 310027, China 2 School of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China 3 Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China 4 MRI Unit, Department of Psychiatry, Columbia University College of Physicians and Surgeons, New York, NY 10032, USA 5 New York State Psychiatric Institute, New York, NY 10032, USA
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摘要： Brain-computer interface (BCI) is a communication system that can help lock-in patients to interact with the outside environment by translating brain signals into machine commands. The present work provides a design for a virtual reality (VR) based BCI system that allows human participants to control a virtual hand to make gestures by P300 signals, with a positive peak of potential about 300 ms posterior to the onset of target stimulus. In this virtual environment, the participants can obtain a more immersed experience with the BCI system, such as controlling a virtual hand or walking around in the virtual world. Methods of modeling the virtual hand and analyzing the P300 signals are also described in detail. Template matching and support vector machine were used as the P300 classifier and the experiment results showed that both algorithms perform well in the system. After a short time of practice, most participants could learn to control the virtual hand during the online experiment with greater than 70% accuracy.
关键词： Brain-computer interface (BCI);  Electroencephalography (EEG);  P300;  Virtual reality (VR);  Template matching;  Support vector machine (SVM)       
Abstract: Brain-computer interface (BCI) is a communication system that can help lock-in patients to interact with the outside environment by translating brain signals into machine commands. The present work provides a design for a virtual reality (VR) based BCI system that allows human participants to control a virtual hand to make gestures by P300 signals, with a positive peak of potential about 300 ms posterior to the onset of target stimulus. In this virtual environment, the participants can obtain a more immersed experience with the BCI system, such as controlling a virtual hand or walking around in the virtual world. Methods of modeling the virtual hand and analyzing the P300 signals are also described in detail. Template matching and support vector machine were used as the P300 classifier and the experiment results showed that both algorithms perform well in the system. After a short time of practice, most participants could learn to control the virtual hand during the online experiment with greater than 70% accuracy.
Key words: Brain-computer interface (BCI)    Electroencephalography (EEG)    P300    Virtual reality (VR)    Template matching    Support vector machine (SVM)
收稿日期: 2009-08-25 出版日期: 2010-08-02
CLC:  TP399  
基金资助: Project  supported  by  the  National  Natural  Science  Foundation  of China (No. 60873125), the National Institute of Biomedical Imaging
and   Bioengineering   (No.   1R03EB008235-01A1),   the   Shanghai Commission of Science and Technology (No. 10440710200), and the
Fundamental Research Funds for the Central Universities
通讯作者: Xiao-xiang ZHENG     E-mail: qaas@zju.edu.cn
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引用本文:

Wei-dong Chen, Jian-hui Zhang, Ji-cai Zhang, Yi Li, Yu Qi, Yu Su, Bian Wu, Shao-min Zhang, Jian-hua Dai, Xiao-xiang Zheng, Dong-rong Xu. A P300 based online brain-computer interface system for virtual hand control. Front. Inform. Technol. Electron. Eng., 2010, 11(8): 587-597.

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http://www.zjujournals.com/xueshu/fitee/CN/10.1631/jzus.C0910530    或    http://www.zjujournals.com/xueshu/fitee/CN/Y2010/V11/I8/587

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