Driving drowsiness detection using spectral signatures of EEG-based neurophysiology
Introduction: Drowsy driving is a significant factor causing dire road crashes and casualties around the world. Detecting it earlier and more effectively can significantly reduce the lethal aftereffects and increase road safety. As physiological conditions originate from the human brain, so neurophy...
Main Authors: | Saad Arif, Saba Munawar, Hashim Ali |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2023-03-01
|
Series: | Frontiers in Physiology |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fphys.2023.1153268/full |
Similar Items
-
Toward Applicable EEG-Based Drowsiness Detection Systems: A Review
by: Nasrin Sheibani Asl, et al.
Published: (2022-07-01) -
A Review of EEG Signal Features and Their Application in Driver Drowsiness Detection Systems
by: Igor Stancin, et al.
Published: (2021-05-01) -
An efficient approach for driver drowsiness detection at moderate drowsiness level based on electroencephalography signal and vehicle dynamics data
by: Sara Houshmand, et al.
Published: (2022-01-01) -
Drowsiness Detection Using Ocular Indices from EEG Signal
by: Sreeza Tarafder, et al.
Published: (2022-06-01) -
Designing an Embedded Feature Selection Algorithm for a Drowsiness Detector Model Based on Electroencephalogram Data
by: Blanka Bencsik, et al.
Published: (2023-02-01)