In this paper, aiming at the detection of fatigue driving scene of drivers, a diagnostic model based on machine learning is proposed under the scene of long-time driving. The validity of the model is verified by simulation experiments. The simulation result shows that the model can effectively fit the fatigue condition of drivers under long-time driving, and accurately judge and warn the fatigue state of drivers. At the same time, the model also extends the application of fatigue classification detection.
CITATION STYLE
Zhongwei, H., Shuangjiang, O., & Dengyuan, X. (2021). Research on Fatigue Driving Feature Detection Algorithms of drivers based on machine learning. Systems Science and Control Engineering, 9(1), 167–172. https://doi.org/10.1080/21642583.2021.1888819
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