Journal of Sensor Science and Technology (센서학회지)

The Korean Sensors Society (한국센서학회)
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EEG Based Brain-Computer Interface System Using Time-multiplexing and Bio-Feedback

Time-multiplexing과 바이오 피드백을 이용한 EEG기반 뇌-컴퓨터 인터페이스 시스템

  • Bae, Il-Han (School of Electronic and Electrical Engineering, Kyungpook National University) ;
  • Ban, Sang-Woo (School of Electronic and Electrical Engineering, Kyungpook National University) ;
  • Lee, Min-Ho (School of Electronic and Electrical Engineering, Kyungpook National University)
  • 배일한 (경북대학교 전자전기공학부) ;
  • 반상우 (경북대학교 전자전기공학부) ;
  • 이민호 (경북대학교 전자전기공학부)
  • Published : 2004.05.31
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Abstract

In this paper, we proposed a brain-computer interface system using EEG signals. It can generate 4 direction command signal from EEG signals captured during imagination of subjects. Bandpass filter used for preprocessing to detect the brain signal, and the power spectrum at a specific frequency domain of the EEG signals for concentration status and non-concentration one is used for feature. In order to generate an adequate signal for controlling the 4 direction movement, we propose a new interface system implemented by using a support vector machine and a time-multiplexing method. Moreover, bio-feed back process and on-line adaptive pattern recognition mechanism are also considered in the proposed system. Computer experimental results show that the proposed method is effective to recognize the non-stational brain wave signal.

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References

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