Title :
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
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;
Conference_Titel :
Intelligent and Advanced Systems (ICIAS), 2014 5th International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4799-4654-9
DOI :
10.1109/ICIAS.2014.6869460
