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...
| Main Authors: | Almahasneh, H.S., Kamel, N., Malik, A.S., Wlater, N., Chooi, W.T. |
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| Format: | Conference or Workshop Item |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.32110 / |
| Published: |
IEEE Computer Society
2014
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| 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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| Summary: |
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. |
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