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- W2017678889 abstract "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." @default.
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- W2017678889 date "2014-08-01" @default.
- W2017678889 modified "2023-09-26" @default.
- W2017678889 title "A new approach to detecting distracted car drivers using eye-movement data" @default.
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- W2017678889 doi "https://doi.org/10.1109/icci-cc.2014.6921470" @default.
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