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...

Descripción completa

Detalles Bibliográficos
Autores principales: Stancin, Igor, Cifrek, Mario, Jovic, Alan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8198610/
https://www.ncbi.nlm.nih.gov/pubmed/34070732
http://dx.doi.org/10.3390/s21113786

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8198610/
https://www.ncbi.nlm.nih.gov/pubmed/34070732
http://dx.doi.org/10.3390/s21113786

Ejemplares similares