文献
J-GLOBAL ID:201702227212203299
整理番号:17A0964817
EEGベースシステムにおけるエントロピー率束縛最小化解析による独立成分を用いた運転者疲労分類【Powered by NICT】
Driver Fatigue Classification With Independent Component by Entropy Rate Bound Minimization Analysis in an EEG-Based System
著者 (7件):
Chai Rifai
(Centre for Health Technologies, Faculty of Engineering and Information Technology, University of Technology, Sydney, N.S.W., Australia)
,
Naik Ganesh R.
(Centre for Health Technologies, Faculty of Engineering and Information Technology, University of Technology, Sydney, N.S.W., Australia)
,
Nguyen Tuan Nghia
(Centre for Health Technologies, Faculty of Engineering and Information Technology, University of Technology, Sydney, N.S.W., Australia)
,
Ling Sai Ho
(Centre for Health Technologies, Faculty of Engineering and Information Technology, University of Technology, Sydney, N.S.W., Australia)
,
Tran Yvonne
(Centre for Health Technologies, University of Technology, Sydney, N.S.W., Australia)
,
Craig Ashley
(Kolling Institute of Medical Research, Sydney Medical School, University of Sydney, Sydney, N.S.W., Australia)
,
Nguyen Hung T.
(Centre for Health Technologies, Faculty of Engineering and Information Technology, University of Technology, Sydney, N.S.W., Australia)
資料名:
IEEE Journal of Biomedical and Health Informatics
(IEEE Journal of Biomedical and Health Informatics)
巻:
21
号:
3
ページ:
715-724
発行年:
2017年
JST資料番号:
W1135A
ISSN:
2168-2194
CODEN:
IJBHA9
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)