This paper investigates the application of machine learning techniques to analyze and classify the state of a vehicle driver while driving to improve road safety. Driver states were analyzed for loss of attention while driving. The object of the study was video images from cameras located in vehicles and directed at drivers. Four models were analyzed in Jupyter notebook environment using NumPy, scikit-learn, Matplotlib. The results of the analysis show that EfficientNet-B0 is the best algorithm and that it can be effectively applied in future studies and predictions.
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Gorodnichev et al. (2024) studied this question.
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