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http://dx.doi.org/10.5369/JSST.2004.13.3.236

EEG Based Brain-Computer Interface System Using Time-multiplexing and Bio-Feedback  

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)
Publication Information
Journal of Sensor Science and Technology / v.13, no.3, 2004 , pp. 236-243 More about this Journal
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.
Keywords
brain-computer interface; EEG; support vector machine;
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