EEG based driver cognitive distraction assessment

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.

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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

Abstract

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.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Impact Factor: cited By 9
Uncontrolled Keywords: Feature extraction; Signal detection; Singular value decomposition, Analysis method; Cognitive distractions; Cognitive state; EEG signals; Electroencephalogram signals; Research communities; Simulated driving, Electroencephalography
Depositing User: Ms Sharifah Fahimah Saiyed Yeop
Date Deposited: 29 Mar 2022 04:34
Last Modified: 29 Mar 2022 04:34
URI: http://scholars.utp.edu.my/id/eprint/32110

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