Real-Time Machine Learning-Based Driver Drowsiness Detection Using Visual Features

Drowsiness-related car accidents continue to have a significant effect on road safety. Many of these accidents can be eliminated by alerting the drivers once they start feeling drowsy. This work presents a non-invasive system for real-time driver drowsiness detection using visual features. These fea...

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Detalles Bibliográficos
Autores principales: Albadawi, Yaman, AlRedhaei, Aneesa, Takruri, Maen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10219078/
https://www.ncbi.nlm.nih.gov/pubmed/37233309
http://dx.doi.org/10.3390/jimaging9050091

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10219078/
https://www.ncbi.nlm.nih.gov/pubmed/37233309
http://dx.doi.org/10.3390/jimaging9050091

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