Multi-Level Classification of Driver Drowsiness by Simultaneous Analysis of ECG and Respiration Signals Using Deep Neural Networks

The high number of fatal crashes caused by driver drowsiness highlights the need for developing reliable drowsiness detection methods. An ideal driver drowsiness detection system should estimate multiple levels of drowsiness accurately without intervening in the driving task. This paper proposes a m...

Descripción completa

Detalles Bibliográficos
Autores principales: Ebrahimian, Serajeddin, Nahvi, Ali, Tashakori, Masoumeh, Salmanzadeh, Hamed, Mohseni, Omid, Leppänen, Timo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9518416/
https://www.ncbi.nlm.nih.gov/pubmed/36078452
http://dx.doi.org/10.3390/ijerph191710736

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9518416/
https://www.ncbi.nlm.nih.gov/pubmed/36078452
http://dx.doi.org/10.3390/ijerph191710736

Ejemplares similares