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Updated: Apr 8, 2026

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
Published on: July 24, 2019
Presenting a model for dynamic facial expression changes in detecting drivers' drowsiness
Mohsen Karchani1, Adel Mazloumi2, Gebraeil Nasl Saraji3
1Ph.D. Student of Department of Occupational Health, School of Public Health, International Campus, Tehran University of Medical Sciences (TUMS.IC), Tehran, Iran.
Abstract:
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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