한국정보과학회:학술대회논문집 (Proceedings of the Korean Information Science Society Conference)
- 한국정보과학회 2002년도 가을 학술발표논문집 Vol.29 No.2 (2)
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- Pages.232-234
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- 2002
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- 1598-5164(pISSN)
다채널 뇌파 분류를 위한 주성분 분석 기반 선형동적시스템
PCA-based Linear Dynamical Systems for Multichannel EEG Classification
- Lee, Hyekyoung (Dept. of Computer Science & Engineering, POSTECH) ;
- Park, Seungjin (Dept. of Computer Science & Engineering, POSTECH)
- 발행 : 2002.10.01
초록
EEG-based brain computer interface (BCI) provides a new communication channel between human brain and computer. The classification of EEG data is an important task in EEG-based BCI. In this paper we present methods which jointly employ principal component analysis (PCA) and linear dynamical system (LDS) modeling for the task of EEG classification. Experimental study for the classification of EEG data during imagination of a left or right hand movement confirms the validity of our proposed methods.
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