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학술대회 Integration of Electroencephalography Based Services Into Consumer Electronics
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저자
김영래, 문진영, 이형직, 배창석, 손승원
발행일
201206
출처
International Symposium on Consumer Electronics (ISCE) 2012, pp.1-2
출판사
IEEE
DOI
https://dx.doi.org/10.1109/ISCE.2012.6241692
협약과제
11SC1700, 인간 교감 신개념 UI 기반 인터랙션 기술, 손승원
초록
Commercialized electroencephalography (EEG) sensors are available that one could extract EEG data more cheaply and more easily. As commercialized EEG sensors can be used commonly, the services that could be provided using EEG and interactions that can be achieved by EEG are needed to be studied. In this paper, we show the feasibility of integrating EEG based services and interactions into consumer electronics using commercialized EEG sensors. We use support vector machine (SVM) classifiers to classify the user's status using EEG data gathered from objects of interest and noise. The results show that EEG gathered from commercialized EEG sensors can be used to classify the user's status. © 2012 IEEE.
KSP 제안 키워드
EEG data, Electroencephalography (EEG) sensors, Support VectorMachine(SVM), consumer electronics