Convolutional Neural Network for Drowsiness Detection Using EEG Signals

Convolutional Neural Network for Drowsiness Detection Using EEG Signals

Drowsiness detection (DD) has become a relevant area of active research in biomedical signal processing. Recently, various deep learning (DL) researches based on the EEG signals have been proposed to detect fatigue conditions. The research presented in this paper proposes an EEG classification syste...

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Dades bibliogràfiques
Autors principals: Siwar Chaabene, Bassem Bouaziz, Amal Boudaya, Anita Hökelmann, Achraf Ammar, Lotfi Chaari
Format: Article
Idioma:English
Publicat: MDPI AG 2021-03-01
Col·lecció:Sensors
Matèries:
drowsiness detection
EEG signals
<i>Emotiv EPOC</i><sup>+</sup>
deep learning
data augmentation
convolutional neural networks
Accés en línia:https://www.mdpi.com/1424-8220/21/5/1734

Internet

https://www.mdpi.com/1424-8220/21/5/1734

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