Developing a Deep Neural Network for Driver Fatigue Detection Using EEG Signals Based on Compressed Sensing

In recent years, driver fatigue has become one of the main causes of road accidents. As a result, fatigue detection systems have been developed to warn drivers, and, among the available methods, EEG signal analysis is recognized as the most reliable method for detecting driver fatigue. This study pr...

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Autori principali: Sobhan Sheykhivand, Tohid Yousefi Rezaii, Saeed Meshgini, Somaye Makoui, Ali Farzamnia
Natura: Articolo
Lingua:English
English
Pubblicazione: MDPI 2022
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Accesso online:https://eprints.ums.edu.my/id/eprint/32805/1/Developing%20a%20Deep%20Neural%20Network%20for%20Driver%20Fatigue%20Detection%20Using%20EEG%20Signals%20Based%20on%20Compressed%20Sensing.pdf
https://eprints.ums.edu.my/id/eprint/32805/2/Developing%20a%20Deep%20Neural%20Network%20for%20Driver%20Fatigue%20Detection%20Using%20EEG%20Signals%20Based%20on%20Compressed%20Sensing1.pdf