Convolutional Neural Network for Drowsiness Detection Using EEG Signals.

Chaabene, Siwar; Bouaziz, Bassem; Boudaya, Amal; Hökelmann, Anita; Ammar, Achraf; Chaari, Lotfi

Chaabene, Siwar; Bouaziz, Bassem; Boudaya, Amal; Hökelmann, Anita; Ammar, Achraf; Chaari, Lotfi.

Afiliação

Chaabene S; Multimedia InfoRmation Systems and Advanced Computing Laboratory (MIRACL), University of Sfax, Sfax 3021, Tunisia.
Bouaziz B; Digital Research Center of Sfax, B.P. 275, Sakiet Ezzit, Sfax 3021, Tunisia.
Boudaya A; Multimedia InfoRmation Systems and Advanced Computing Laboratory (MIRACL), University of Sfax, Sfax 3021, Tunisia.
Hökelmann A; Digital Research Center of Sfax, B.P. 275, Sakiet Ezzit, Sfax 3021, Tunisia.
Ammar A; Multimedia InfoRmation Systems and Advanced Computing Laboratory (MIRACL), University of Sfax, Sfax 3021, Tunisia.
Chaari L; Digital Research Center of Sfax, B.P. 275, Sakiet Ezzit, Sfax 3021, Tunisia.

Sensors (Basel) ; 21(5)2021 Mar 03.

Article em En | MEDLINE | ID: mdl-33802357

Assuntos

Eletroencefalografia; Vigília; Redes Neurais de Computação; Processamento de Sinais Assistido por Computador

Palavras-chave

EEG signals; Emotiv EPOC+; awake/drowsy states; classification; convolutional neural networks; data augmentation; deep learning; drowsiness detection

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Vigília / Eletroencefalografia Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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