Yuyang Sun1, Peizhou Yan2, *, Zhengzheng Li2, Jiancheng Zou3, Don Hong4
CMC-Computers, Materials & Continua, Vol.63, No.3, pp. 1563-1574, 2020, DOI:10.32604/cmc.2020.09763
Abstract Real-time detection of driver fatigue status is of great significance for road
traffic safety. In this paper, a proposed novel driver fatigue detection method is able to
detect the driver’s fatigue status around the clock. The driver’s face images were captured
by a camera with a colored lens and an infrared lens mounted above the dashboard. The
landmarks of the driver’s face were labeled and the eye-area wassegmented. By calculating
the aspect ratios of the eyes, the duration of eye closure, frequency of blinks and PERCLOS
of both colored and infrared, fatigue can be detected. Based on the change of… More >
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