In our study, we generate new rules for determining whether or not a driver is distracted, using collected data about the driver's eye movement and driving data by learning as a new approach to detecting distracted car drivers. We use a learning tool, namely a support vector machine (SVM), to generate the rules. In addition, we focused on a qualitative model of a driver's cognitive mental load in a prior study and investigated the relationship between this model and the driver's distraction. In the investigation, we verify driver's eye movements and driving data that are inconsistent with the model.
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