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

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

doi:10.1631/jzus.C0910530

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

计算机与自动化 | Updated：2022-08-31

- A P300 based online brain-computer interface system for virtual hand control
- A P300 based online brain-computer interface system for virtual hand control
- 信息与电子工程前沿（英文） 2010年11卷第8期页码：587-597
- Affiliations：
  
  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
- Author bio：
  
  E-mail:chenwd@zju.edu.cn
  ‡Corresponding Author
- Funds：
- DOI：10.1631/jzus.C0910530
  中图分类号：
- 收稿：2009-08-25，
  
  修回：2010-07-01，
  
  录用：2010-01-22，
  
  纸质出版：2010-08
- Accepted：
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A P300 based online brain-computer interface system for virtual hand control[J]. 信息与电子工程前沿（英文）, 2010,11(8):587-597.

Wei-dong CHEN, Jian-hui ZHANG, Ji-cai ZHANG, et al. A P300 based online brain-computer interface system for virtual hand control[J]. Frontiers of Information Technology & Electronic Engineering, 2010, 11(8): 587-597.
A P300 based online brain-computer interface system for virtual hand control[J]. 信息与电子工程前沿（英文）, 2010,11(8):587-597. DOI： 10.1631/jzus.C0910530.

Wei-dong CHEN, Jian-hui ZHANG, Ji-cai ZHANG, et al. A P300 based online brain-computer interface system for virtual hand control[J]. Frontiers of Information Technology & Electronic Engineering, 2010, 11(8): 587-597. DOI： 10.1631/jzus.C0910530.

摘要

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.

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