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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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Principais autores: Igor Stancin, Mirta Zelenika Zeba, Kresimir Friganovic, Mario Cifrek, Alan Jovic
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2022-08-01
coleção:Applied Sciences
Assuntos:
drowsiness detection
EEG features
machine learning
recurrence quantification analysis
sex classification
sex differences
Acesso em linha:https://www.mdpi.com/2076-3417/12/16/8146
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