학술대회논문

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Integration of Electroencephalography based services into consumer electronics

Integration of Electroencephalography based services into consumer electronics
국내/국제 국제 국가명 미국
학술대회명 International Symposium on Consumer Electronics(ISCE) 2012 개최연월 2012-06

저자 Youngrae Kim, Jinyoung Moon, Hyung-Jik Lee, Chang-Seok Bae, Sungwon Sohn
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
키워드 EEG sensor, support vector machine

과제명 인간 교감 신개념 UI 기반 인터랙션 기술
연구기관 한국전자통신연구원 연구책임자 손승원