A CNN-based driver's drowsiness and distraction detection system - Flores-Monroy J, Nakano-Miyatake M, Perez-Meana H, Escamilla-Hernandez E, Sanchez-Perez G, Vergara-Villegas OO, Cruz-S ánchez VG, Sossa-Azuela JH, Carrasco-Ochoa JA, Martínez-Trinidad JF, Olvera-López JA.

The driver's drowsiness and distraction are the principal causes of traffic accidents in the world. To attack this problem, in this paper we propose a visual-based driver's drowsiness and distraction detection system, which is based on a face detection alg...
Source: SafetyLit - Category: International Medicine & Public Health Tags: Distraction, Fatigue, Chronobiology, Vigilance, Workload Source Type: news