文献
J-GLOBAL ID:201702257348481692
整理番号:17A0276569
EEG信号を用いたヒト同定のための最も効果的なリズムの推定【Powered by NICT】
Estimation of the most effective rhythm for human identification using EEG signal
著者 (4件):
Hasan Md. Mahmudul
(Department of Electrical and Electronic Engineering, Khulna University of Engineering & Technology, 9203, Bangladesh)
,
Sohag Md. Hanif Ali
(Department of Electrical and Electronic Engineering, Khulna University of Engineering & Technology, 9203, Bangladesh)
,
Ali Md. Eakub
(Department of Electrical and Electronic Engineering, Khulna University of Engineering & Technology, 9203, Bangladesh)
,
Ahmad Mohiuddin
(Department of Electrical and Electronic Engineering, Khulna University of Engineering & Technology, 9203, Bangladesh)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2016
号:
ICECE
ページ:
90-93
発行年:
2016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)