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EEG-based Subjects' Response Time Detection for Brain-Computer-Interface  

신승철 (한국전자통신연구원 인체정보처리팀)
류창수 (한국전자통신연구원 인체정보처리팀)
송윤선 (한국전자통신연구원 인체정보처리팀)
남승훈 (한국전자통신연구원 인체정보처리팀)
Publication Information
Journal of KIISE:Software and Applications / v.29, no.11, 2002 , pp. 837-850 More about this Journal
Abstract
In this paper, we propose an EEG-based response time prediction method during a yes/no cognitive decision task. In the experimental task, a subject goes through responding of visual stimulus, understanding the given problem, controlling hand motions, and hitting a key. Considering the subject's varying brain activities, we model subjects' mental states with defining CT (cut time), ST (selection time), and RP (repeated period). Based on the assumption between ST and RT in the mental model, we predict subjects' response time by detection of selection time. To recognize the subjects' selection time ST, we extract 3 types of feature from the filtered brain waves at frequency bands of $\alpha$, $\beta$, ${\gamma}$ waves in 4 electrode pairs combined by spatial relationships. From the extracted features, we construct specific rules for each subject and meta rules including common factors in all subjects. Applying the ST detection rules to 8 subjects gives 83% success rates and also shows that the subjects will hit a key in 0.73 seconds after ST detected. To validate the detection rules and parameters, we test the rules for 2 subjects among 8 and discuss about the experimental results. We expect that the proposed detection method can be a basic technology for brain-computer-interface by combining with left/right hand movement or yes/no discrimination methods.
Keywords
EEG; Mental Process; Selection Time; Response Time; Detection Rules; YES/NO Discrimination;
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Times Cited By KSCI : 5  (Citation Analysis)
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