Cargando…
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...
Autores principales: | Arif, Saad, Munawar, Saba, Ali, Hashim |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10097971/ https://www.ncbi.nlm.nih.gov/pubmed/37064914 http://dx.doi.org/10.3389/fphys.2023.1153268 |
Ejemplares similares
-
EEG-based Drowsiness Detection for Safe Driving Using Chaotic Features and Statistical Tests
por: Mardi, Zahra, et al.
Publicado: (2011) -
Convolutional Neural Network for Drowsiness Detection Using EEG Signals
por: Chaabene, Siwar, et al.
Publicado: (2021) -
Drowsiness Detection Using Ocular Indices from EEG Signal
por: Tarafder, Sreeza, et al.
Publicado: (2022) -
Identifying changes in EEG information transfer during drowsy driving by transfer entropy
por: Huang, Chih-Sheng, et al.
Publicado: (2015) -
Real Time Driver’s Drowsiness Detection by Processing the EEG Signals Stimulated with External Flickering Light
por: Hashemi, Amjad, et al.
Publicado: (2014)