Automatic Driver Drowsiness Detection Using Artificial Neural Network Based on Visual Facial Descriptors: Pilot Study

PURPOSE: Driving while drowsy is a major cause of traffic accidents globally. Recent technologies for detection and alarm within automobiles for this condition are limited by their reliability, practicality, cost, and lack of clinical validation. In this study, we developed an early drowsiness detec...

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Detalles Bibliográficos
Autores principales: Inkeaw, Papangkorn, Srikummoon, Pimwarat, Chaijaruwanich, Jeerayut, Traisathit, Patrinee, Awiphan, Suphakit, Inchai, Juthamas, Worasuthaneewan, Ratirat, Theerakittikul, Theerakorn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2022
Materias:
Short Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9482962/
https://www.ncbi.nlm.nih.gov/pubmed/36132745
http://dx.doi.org/10.2147/NSS.S376755

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9482962/
https://www.ncbi.nlm.nih.gov/pubmed/36132745
http://dx.doi.org/10.2147/NSS.S376755

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