A Review of EEG Signal Features and Their Application in Driver Drowsiness Detection Systems

Detecting drowsiness in drivers, especially multi-level drowsiness, is a difficult problem that is often approached using neurophysiological signals as the basis for building a reliable system. In this context, electroencephalogram (EEG) signals are the most important source of data to achieve succe...

Full description

Bibliographic Details

Published in:	Sensors
Main Authors:	Igor Stancin, Mario Cifrek, Alan Jovic
Format:	Article
Language:	English
Published:	MDPI AG 2021-05-01
Subjects:	drowsiness detection EEG features feature extraction machine learning drowsiness classification fatigue detection
Online Access:	https://www.mdpi.com/1424-8220/21/11/3786