@inproceedings{scholars4917,
            note = {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},
            year = {2014},
             doi = {10.1109/ICIAS.2014.6869460},
         journal = {2014 5th International Conference on Intelligent and Advanced Systems: Technological Convergence for Sustainable Future, ICIAS 2014 - Proceedings},
       publisher = {IEEE Computer Society},
         address = {Kuala Lumpur},
           title = {EEG based driver cognitive distraction assessment},
            isbn = {9781479946549},
          author = {Almahasneh, H. S. and Kamel, N. and Malik, A. S. and Wlater, N. and Chooi, W. T.},
        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. {\^A}{\copyright} 2014 IEEE.},
        keywords = {Feature extraction; Signal detection; Singular value decomposition, Analysis method; Cognitive distractions; Cognitive state; EEG signals; Electroencephalogram signals; Research communities; Simulated driving, Electroencephalography},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906350444&doi=10.1109\%2fICIAS.2014.6869460&partnerID=40&md5=4d3cab33a7f9babf1233b47c49659ee3}
}