relation: https://khub.utp.edu.my/scholars/4917/
title: EEG based driver cognitive distraction assessment
creator: Almahasneh, H.S.
creator: Kamel, N.
creator: Malik, A.S.
creator: Wlater, N.
creator: Chooi, W.T.
description: The assessment of a drivers' cognitive distraction during driving is a challenging topic in research community. This paper states the ongoing research assessing driver's cognitive distraction using simulated driving. The driver's cognitive distraction detection is based on the analysis of EEG signal. A new analysis method based on Singular Value Decomposition (SVD) is introduced for the extraction of feature from the Electroencephalogram (EEG) signals. Hence, the results obtained consist in high accurate detection of the driver's cognitive state. © 2014 IEEE.
publisher: IEEE Computer Society
date: 2014
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Almahasneh, H.S. and Kamel, N. and Malik, A.S. and Wlater, N. and Chooi, W.T.  (2014) EEG based driver cognitive distraction assessment.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906350444&doi=10.1109%2fICIAS.2014.6869460&partnerID=40&md5=4d3cab33a7f9babf1233b47c49659ee3
relation: 10.1109/ICIAS.2014.6869460
identifier: 10.1109/ICIAS.2014.6869460