Fatigue State Detection Through Multiple Machine Learning Classifiers Using EEG Signal

Fatigued drivers can often cause long-distance accidents worldwide. Fatigue states are the primary cause of highway accidents. This study is conducted to provide a comprehensive and reliable fatigue state detection system to avoid accidents and make a good decision. Three machine learning algorithms...

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Bibliografski detalji

Glavni autori:	Md Mahmudul Hasan, Mirza Mahfuj Hossain, Norizam Sulaiman
Format:	Artigo
Jezik:	Inglês
Izdano:	ARQII PUBLICATION 2023-12-01
Serija:	Applications of Modelling and Simulation
Teme:	decision tree eeg signal fatigue detection k-nearest neighbor machine learning random forest
Online pristup:	http://arqiipubl.com/ojs/index.php/AMS_Journal/article/view/480/163
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