Abstract
Fatigue detection is a very important goal because often tired people lose control of a certain task. So the driver falls asleep during a long trip. Driver's state is very important because one of the main reasons for motor vehicular accidents is related to driver's fatigue. To prevent accidents a driver fatigue monitoring and control system that works in real time is required. The main purpose of this study to build a base for developing the drowsiness control system. The article presents drowsiness features study, such as the closed eye, the yawn are required for building the system.
Cite
CITATION STYLE
Gaidar, A. I., & Yakimov, P. Y. (2019). Real-time fatigue features detection. In Journal of Physics: Conference Series (Vol. 1368). Institute of Physics Publishing. https://doi.org/10.1088/1742-6596/1368/5/052017
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