Presenting a model for dynamic facial expression changes in detecting drivers’ drowsiness

Drowsiness while driving is a major cause of accidents. A driver fatigue detection system that is designed to sound an alarm, when appropriate, can prevent many accidents that sometime leads to the loss of life and property. In this paper, we classify drowsiness detection sensors and their strong an...

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Detalles Bibliográficos
Autores principales: Karchani, Mohsen, Mazloumi, Adel, Saraji, Gebraeil Nasl, Gharagozlou, Faramarz, Nahvi, Ali, Haghighi, Khosro Sadeghniiat, Abadi, Bahador Makki, Foroshani, Abbas Rahimi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Electronic physician 2015
Materias:
Brief Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4477768/
https://www.ncbi.nlm.nih.gov/pubmed/26120417
http://dx.doi.org/10.14661/2015.1073-1077
Descripción
Sumario:Drowsiness while driving is a major cause of accidents. A driver fatigue detection system that is designed to sound an alarm, when appropriate, can prevent many accidents that sometime leads to the loss of life and property. In this paper, we classify drowsiness detection sensors and their strong and weak points. A compound model is proposed that uses image processing techniques to study the dynamic changes of the face to recognize drowsiness during driving.

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