EEG based driver cognitive distraction assessment

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 analysi...

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Main Authors: Almahasneh, H.S., Kamel, N., Malik, A.S., Wlater, N., Chooi, W.T.
Format: Conference or Workshop Item
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.32110 /
Published: IEEE Computer Society 2014
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906350444&doi=10.1109%2fICIAS.2014.6869460&partnerID=40&md5=4d3cab33a7f9babf1233b47c49659ee3
http://eprints.utp.edu.my/32110/
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id utp-eprints.32110
recordtype eprints
spelling utp-eprints.321102022-03-29T04:34:50Z EEG based driver cognitive distraction assessment Almahasneh, H.S. Kamel, N. Malik, A.S. Wlater, N. Chooi, W.T. 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. IEEE Computer Society 2014 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906350444&doi=10.1109%2fICIAS.2014.6869460&partnerID=40&md5=4d3cab33a7f9babf1233b47c49659ee3 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. http://eprints.utp.edu.my/32110/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
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.
format Conference or Workshop Item
author Almahasneh, H.S.
Kamel, N.
Malik, A.S.
Wlater, N.
Chooi, W.T.
spellingShingle Almahasneh, H.S.
Kamel, N.
Malik, A.S.
Wlater, N.
Chooi, W.T.
EEG based driver cognitive distraction assessment
author_sort Almahasneh, H.S.
title EEG based driver cognitive distraction assessment
title_short EEG based driver cognitive distraction assessment
title_full EEG based driver cognitive distraction assessment
title_fullStr EEG based driver cognitive distraction assessment
title_full_unstemmed EEG based driver cognitive distraction assessment
title_sort eeg based driver cognitive distraction assessment
publisher IEEE Computer Society
publishDate 2014
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906350444&doi=10.1109%2fICIAS.2014.6869460&partnerID=40&md5=4d3cab33a7f9babf1233b47c49659ee3
http://eprints.utp.edu.my/32110/
_version_ 1741197687909253120
score 11.62408

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