Driver Cognitive Distraction Detection Using Eye Movements
Driver distraction is an important safety problem . The results of a study that tracked 100 vehicles for one year indicated that nearly 80% of crashes and 65% of near-crashes involved some form of driver inattention within three seconds of the events. The most common forms of inattention included secondary tasks, driving-related inattention, fatigue, and combinations of these . In-vehicle information systems (IVIS), such as navigation systems and internet services, introduce various secondary tasks into the driving environment that can increase crash risk [5,516]. Thus, in future it would be very beneficial if IVIS could monitor driver distraction so that the system could adapt and mitigate the distraction. To not disturb driving, non-intrusive and real-time monitoring of distraction is essential.
KeywordsFalse Alarm Rate Secondary Task Smooth Pursuit Data Mining Method Visual Distraction
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