Real-time BCI for imagery movement and Classification for uncued EEG signal

상상 움직임에 대한 실시간 뇌전도 뇌 컴퓨터 상호작용, 큐 없는 상상 움직임에서의 뇌 신호 분류

  • 강성욱 (광주과학 기술원 정보통신공학과 바이오컴퓨팅 연구실) ;
  • 전성찬 (광주과학 기술원 정보통신공학과 바이오컴퓨팅 연구실)
  • Published : 2009.02.09

Abstract

Brain Computer Interface (BCI) is a communication pathway between devices (computers) and human brain. It treats brain signals in real-time basis and discriminates some information of what human brain is doing. In this work, we develop a EEG BCI system using a feature extraction such as common spatial pattern (CSP) and a classifier using Fisher linear discriminant analysis (FLDA). Two-class EEG motor imagery movement datasets with both cued and uncued are tested to verify its feasibility.

Acknowledgement

Supported by : GIST DASAN Faculty Start-up, Ministry of Knowledge Economy, Information Technology Research Center, Institute of Information Technology Advancement