文献
J-GLOBAL ID:201702218204746077
整理番号:17A1396447
正常相互情報量法を用いた低減チャンネルウェーブレットエントロピーと平均ウェーブレット係数特徴を用いた脳波感情認識【Powered by NICT】
EEG emotion recognition using reduced channel wavelet entropy and average wavelet coefficient features with normal Mutual Information method
著者 (5件):
Candra Henry
(Electrical Engineering Department, Faculty of Industrial Technology, Trisakti University, Jakarta, Indonesia)
,
Yuwono Mitchell
(Centre for Health Technologies, Faculty of Engineering and Information Technology, University of Technology, Sydney, New South Wales, Australia)
,
Chai Rifai
(Centre for Health Technologies, Faculty of Engineering and Information Technology, University of Technology, Sydney, New South Wales, Australia)
,
Nguyen Hung T.
(Centre for Health Technologies, Faculty of Engineering and Information Technology, University of Technology, Sydney, New South Wales, Australia)
,
Su Steven
(Centre for Health Technologies, Faculty of Engineering and Information Technology, University of Technology, Sydney, New South Wales, Australia)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2017
号:
EMBC
ページ:
463-466
発行年:
2017年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)