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.
Author: Arthur Mourits
Rumagit, Izzat Aulia Akbar, Tomohiko Igasaki
Journal Code: jptkomputergg170063
