EEG based driver cognitive distraction assessment

Author

Almahasneh, Hossam S. ; Kamel, N. ; Malik, A.S. ; Wlater, Nicolas ; Weng Tink Chooi

Author_Institution

Electr. & Electron. Eng. Dept., Univ. Teknol. PETRONAS/CISIR, Tronoh, Malaysia

fYear

2014

fDate

3-5 June 2014

Firstpage

1

Lastpage

4

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.

Keywords

cognition; driver information systems; electroencephalography; singular value decomposition; EEG based driver cognitive distraction assessment; EEG signal; SVD; driver cognitive state; electroencephalogram signals; simulated driving; singular value decomposition; Accidents; Band-pass filters; Electroencephalography; Feature extraction; Safety; Support vector machines; Vehicles; Cognitive Distraction; EEG; SVD; Simulated Driving; feature extraction;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent and Advanced Systems (ICIAS), 2014 5th International Conference on

Conference_Location

Kuala Lumpur

Print_ISBN

978-1-4799-4654-9

Type

conf

DOI

10.1109/ICIAS.2014.6869460

Filename

6869460