TY  - CONF
N2  - 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.
ID  - scholars4917
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906350444&doi=10.1109%2fICIAS.2014.6869460&partnerID=40&md5=4d3cab33a7f9babf1233b47c49659ee3
CY  - Kuala Lumpur
KW  - Feature extraction; Signal detection; Singular value decomposition
KW  -  Analysis method; Cognitive distractions; Cognitive state; EEG signals; Electroencephalogram signals; Research communities; Simulated driving
KW  -  Electroencephalography
SN  - 9781479946549
A1  - Almahasneh, H.S.
A1  - Kamel, N.
A1  - Malik, A.S.
A1  - Wlater, N.
A1  - Chooi, W.T.
PB  - IEEE Computer Society
AV  - none
N1  - cited By 10; Conference of 2014 5th International Conference on Intelligent and Advanced Systems, ICIAS 2014 ; Conference Date: 3 June 2014 Through 5 June 2014; Conference Code:107042
Y1  - 2014///
TI  - EEG based driver cognitive distraction assessment
ER  -