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CLC number: TP399; R318

On-line Access: 2010-08-02

Received: 2009-08-25

Revision Accepted: 2010-01-22

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Journal of Zhejiang University SCIENCE C 2010 Vol.11 No.8 P.587-597

10.1631/jzus.C0910530


A P300 based online brain-computer interface system for virtual hand control


Author(s):  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

Affiliation(s):  Qiushi Academy for Advanced Studies, Zhejiang University, Hangzhou 310027, China, School of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China, Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China, MRI Unit, Department of Psychiatry, Columbia University College of Physicians and Surgeons, New York, NY 10032, USA, New York State Psychiatric Institute, New York, NY 10032, USA

Corresponding email(s):   chenwd@zju.edu.cn, qaas@zju.edu.cn

Key Words:  Brain-computer interface (BCI), Electroencephalography (EEG), P300, Virtual reality (VR), Template matching, Support vector machine (SVM)


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[J]. Journal of Zhejiang University Science C, 2010, 11(2): 587-597.

@article{title="A P300 based online brain-computer interface system for virtual hand control",
author="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",
journal="Journal of Zhejiang University Science C",
volume="11",
number="8",
pages="587-597",
year="2010",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.C0910530"
}

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%A Wei-dong Chen
%A Jian-hui Zhang
%A Ji-cai Zhang
%A Yi Li
%A Yu Qi
%A Yu Su
%A Bian Wu
%A Shao-min Zhang
%A Jian-hua Dai
%A Xiao-xiang Zheng
%A Dong-rong Xu
%J Journal of Zhejiang University SCIENCE C
%V 11
%N 8
%P 587-597
%@ 1869-1951
%D 2010
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A1 - Wei-dong Chen
A1 - Jian-hui Zhang
A1 - Ji-cai Zhang
A1 - Yi Li
A1 - Yu Qi
A1 - Yu Su
A1 - Bian Wu
A1 - Shao-min Zhang
A1 - Jian-hua Dai
A1 - Xiao-xiang Zheng
A1 - Dong-rong Xu
J0 - Journal of Zhejiang University Science C
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PB - Zhejiang University Press & Springer
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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.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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