A hybrid Bayesian Network approach to detect driver cognitive distraction
A layered algorithm integrates Dynamic Bayesian Network and supervised clustering. The algorithm detects driver cognitive distraction using gaze and driving measures. The algorithm significantly improves computational efficiency and interpretability. The layered algorithm capitalizes the best attributes of component methods. Supervised clustering shows the great value to feature reduction in data mining.
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