Gazing Time Analysis for Drowsiness Assessment Using Eye Gaze Tracker

Abstract: From several investigations, it has been shown that most of the traffic accidents were due to drowsy driving. In order to address this issue, many related works have been conducted. One study wasable to capture the driver’s facial expression and estimate their drowsiness. Instead of measuring thedriver’s physiological condition, the results of such measurements were also used to predict their drowsiness level in this study. We investigated the relationship between the drowsiness and physiological condition by employing an eye gaze signal utilizing an eye gaze tracker and the Japanese version of the Karolinska sleepiness scale (KSS-J) within the driving simulator environment. The results showed that the gazing time has a significant statistical difference in relation to the drowsiness level: alert (1−5), weak drowsiness (6−7), and strong drowsiness (8−9), with P<0.001. Therefore, we suggested the potential of using the eye gaze to assess the drowsiness under a driving condition.
Keywords: drowsiness, gazing time, eye gaze tracker, driving simulator, Karolinska sleepiness scale
Author: Arthur Mourits Rumagit, Izzat Aulia Akbar, Tomohiko Igasaki
Journal Code: jptkomputergg170063

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