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- W2189021672 abstract "This paper discusses a method for detecting driver’s inattentiveness. Our system for monitoring driving behavior in a fixed-based driving simulator measures the following data: body movement, driving posture, eye and head movements, blinks, instep position of the right leg, plethysmograms, facial temperature, steering angle, and strokes of the acceleration and brake pedals. Among several possible causes of driver’s inattentiveness, such as over-trust in driving support system, lack of vigilance against traffic conditions, an important one may be occurrence of external events that requires a driver to perform an additional cognitive task. A typical example of such an event may be a negotiation with somebody on a serious matter. Such inattentiveness may occur even if he or she is a careful driver, since addition of a cognitive task usually increases driver’s mental workload significantly. This paper investigated effects on driver’s behavior when a driver is distracted by a secondary cognitive task that demands high mental workload. Two types were found as effects of performing mental arithmetic task on fixations. Both types of effects can be seen in one driver depending on traffic conditions. It has been found that likelihood of occurring type 1 or type 2 effects depends on a driver. With these findings, this paper developed and improved a driver-adaptable algorithm for detection of being in high tension. However, there were several drivers for whom the algorithm did not work well. It is thus necessary to develop a method to detect a driver’s psychological state change into risky ones in a sensor fusion manner." @default.
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- W2189021672 date "2006-01-01" @default.
- W2189021672 modified "2023-09-23" @default.
- W2189021672 title "Driver behavior monitoring. Part II. Detection of driver's inattentiveness under distracting conditions" @default.
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