지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
오류제보하기
In this study, we evaluated the EEG based BCI algorithm using common spatial pattern to find realistic applicability using neurofeedback. EEG based BCI algorithm - EEG mode, feature vector calculation, the number of selected channels, 3 types of classifier, window size is evaluated for 10 subjects. The experimental results have been evaluated depending on conditioned experiment whether neurofeedback is used or not. In case of using neurofeedback,a few subjects presented exceptional but general tendency presented the performance improvement. Through this study, we found a motivation of development for the specific classifier based BCI system and the assessment evaluation system. We proposed a need for an optimized algorithm applicable to the robust motor imagery evaluation system with more useful functionalities.
목차
등록된 정보가 없습니다.
참고문헌 (24)
참고문헌 신청
A. Chatterjee / 2007 / A brain-computer interface with vibrotactile biofeedback for haptic information / Journal of neuroengineering and rehabilitation 4 (1) : 40 ~
B. Blankertz / 2007 / The noninvasive Berlin Brain-Computer Interface: Fast acquisition of effective performance in untrained subjects / NeuroImage 37 (2) : 539 ~ 550
B. Kamousi / 2007 / Classification of motor imagery by means of cortical current density estimation and Von Neumann entropy / Journal of neural engineering 4 : 17 ~
E. C. Lalor / 2005 / Steady-state VEP-based brain-computer interface control in an immersive 3D gaming environment / EURASIP journal on applied signal processing 2005 : 3156
F. Galan / 2008 / A brain-actuated wheelchair: asynchronous and non-invasive Brain-computer interfaces for continuous control of robots / Clinical Neurophysiology 119 (9) :
B. Blankertz / 2007 / The noninvasive Berlin Brain-Computer Interface: Fast acquisition of effective performance in untrained subjects / NeuroImage 37 (2) : 539 ~ 550
B. Kamousi / 2007 / Classification of motor imagery by means of cortical current density estimation and Von Neumann entropy / Journal of neural engineering 4 : 17 ~
E. C. Lalor / 2005 / Steady-state VEP-based brain-computer interface control in an immersive 3D gaming environment / EURASIP journal on applied signal processing 2005 : 3156
F. Galan / 2008 / A brain-actuated wheelchair: asynchronous and non-invasive Brain-computer interfaces for continuous control of robots / Clinical Neurophysiology 119 (9) :
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