Information on Drivers’ Sex Improves EEG-Based Drowsiness Detection Model

Objective detection of a driver’s drowsiness is important for improving driving safety, and the most prominent indicator of drowsiness is changes in electroencephalographic (EEG) activity. Despite extensively documented behavioral differences between male and female drivers, previous studies have no...

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Autors principals:	Igor Stancin, Mirta Zelenika Zeba, Kresimir Friganovic, Mario Cifrek, Alan Jovic
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2022-08-01
Col·lecció:	Applied Sciences
Matèries:	drowsiness detection EEG features machine learning recurrence quantification analysis sex classification sex differences
Accés en línia:	https://www.mdpi.com/2076-3417/12/16/8146
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