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Iftikar Zahedi Sutalaksana
Faculty of Industrial Technology, Institut Teknologi Bandung, Jalan Ganesha 10, Bandung 40132
Engineering

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An Analysis of EEG Changes during Prolonged Simulated Driving for the Assessment of Driver Fatigue Rida Zuraida; Hardianto Iridiastadi; Iftikar Zahedi Sutalaksana; Suprijanto Suprijanto
Journal of Engineering and Technological Sciences Vol. 51 No. 2 (2019)
Publisher : Institute for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/j.eng.technol.sci.2019.51.2.9

Abstract

Fatigue during driving is the main contributing factor to road accidents. It is influenced by time on task (TOT) and time of day (TOD). Recent electroencephalogram (EEG) research on fatigue assessment has shown a promising result in explaining the fatigue phenomenon. However, different findings exist regarding the best EEG parameters related to fatigue. This study examined EEG changes according to the effect of TOT and TOD and determined the best parameters to distinguish fatigue status. To generate driver fatigue, prolonged driving in the morning and at night in a simulator was conducted. The EEG signal was collected from 28 male participants at frontal and occipital areas. The EEG power (brainwave) was determined from the first and last 5 minutes of the driving task and after a break of 30 minutes. The results of this study showed a general tendency of EEG power changing throughout the driving sessions. However, changes related to fatigue were only found for the night sessions, as confirmed by q power and the subjective fatigue measurement result. This study showed that TOT (as a factor that induces fatigue) was explained by q from the frontal area, whereas TOD was differentiated by a, q, q/b, (q+a)/b and (q+a)/(b+a).
Co-Authors Hardianto Iridiastadi Rida Zuraida Suprijanto Suprijanto