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J-GLOBAL ID：201802245018768777   Reference number：18A0708690

EEG-signals based cognitive workload detection of vehicle driver using deep learning

深部学習を用いた車両ドライバのEEG信号ベース認知負荷検出【JST・京大機械翻訳】

Author (3)： Almogbel Mohammad A. (Department. of Computer Science. and Communications Engineering, Graduate School of Fundamental Science and Engineering. Waseda University, Tokyo, Japan) ,  Dang Anh H. (GITS, Waseda University, Tokyo, Japan) ,  Kameyama Wataru (Faculty of Science and Engineering, Waseda University, Tokyo, Japan)
Material： IEEE Conference Proceedings  (IEEE Conf Proc)
Volume： 2018  Issue： ICACT  Page： 256-259  Publication year： 2018 
JST Material Number： W2441A  Document type： Proceedings
Article type： 原著論文  Country of issue： United States (USA)  Language： ENGLISH (EN)

Abstract/Point： Vehicle driver’s ability to ma...

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Thesaurus term： channel ,  Safety ,  electroencephalogram ,  *deep ,  *Learning ,  preliminary experiment ,  driving simulator ,  Automobile Driving ,  *EEG signals
Semi thesaurus term： *認知負荷 , 【Automatic Indexing@JST】

JST classification (1)： Biometry  (EL03020C)

Terms in the title (5)： 深部 ,  学習 ,  ドライバ ,  EEG信号 ,  認知負荷