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
- 30 April 2020
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. More >
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