References

Amditis, A., M. Bimpas, G. Thomaidis, M. Tsogas and M. Netto et al., 2010. A situation-adaptive lane-keeping support system: Overview of the safelane approach. IEEE. Trans. Intell. Transp. Syst., 11: 617-629.
CrossRef  |  Direct Link  |  

Arjunan, S.P., D.K. Kumar and T.P. Jung, 2009. Changes in decibel scale wavelength properties of EEG with alertness levels while performing sustained attention tasks. Proceedings of the Annual International Conference on Engineering in Medicine and Biology Society, September 3-6, 2009, IEEE, Minneapolis, Minnesota, USA., ISBN:978-1-4244-3296-7, pp: 6288-6291.

Bafroui, H.H. and A. Ohadi, 2014. Application of wavelet energy and Shannon entropy for feature extraction in gearbox fault detection under varying speed conditions. Neurocomputing, 133: 437-445.
CrossRef  |  Direct Link  |  

Dai, J., J. Teng, X. Bai, Z. Shen and D. Xuan, 2010. Mobile phone based drunk driving detection. Proceedings of the 4th International Conference on Pervasive Computing Technologies for Healthcare, March 22-25, 2010, IEEE, Munich, Germany, ISBN:978-963-9799-89-9, pp: 1-8.

Dong, Y., Z. Hu, K. Uchimura and N. Murayama, 2011. Driver inattention monitoring system for intelligent vehicles: A review. IEEE. Trans. Intell. Transp. Syst., 12: 596-614.
CrossRef  |  Direct Link  |  

Ebrahimi, F., M. Mikaeili, E. Estrada and H. Nazeran, 2008. Automatic sleep stage classification based on EEG signals by using neural networks and wavelet packet coefficients. Proceedings of 30th Annual Conference of the IEEE Engineering in Medicine and Biology Society, Aug. 20-24, Vancouver, British Columbia, Canada, pp: 1151-1154.

Goldberger, A.L., L.A.N. Amaral, L. Glass, J.M. Hausdorff and P.C.H. Ivanov et al., 2000. Physio bank, physio toolkit and physio net: Components of a new research resource for complex physiologic signals. Circulation, 101: e215-e220.
Direct Link  |  

Gurudath, N. and H.B. Riley, 2014. Drowsy driving detection by EEG analysis using wavelet transform and K-means clustering. Procedia Comput. Sci., 34: 400-409.
CrossRef  |  Direct Link  |  

Hariri, B., S. Abtahi, S. Shirmohammadi and L. Martel, 2011. Vision based smart in-car camera system for driver yawning detection. Proceedings of the 15th ACM/IEEE International Conference on Distributed Smart Cameras, August 22-25, 2011, IEEE, Ghent, Belgium, ISBN:978-1-4577-1708-6, pp: 1-2.

Hariri, B., S. Abtahi, S. Shirmohammadi and L. Martel, 2011. Vision based smart in-car camera system for driver yawning detection. Proceedings of the 15th ACM/IEEE International Conference on Distributed Smart Cameras, August 22-25, 2011, IEEE, Ghent, Belgium, ISBN:978-1-4577-1708-6, pp: 1-2.

Harmony, T., T. Fernandez, J. Silva, J. Bernal and L. Diaz-Comas et al., 1996. EEG delta activity: An indicator of attention to internal processing during performance of mental tasks. Intl. J. Psychophysiology, 24: 161-171.
CrossRef  |  Direct Link  |  

Hunn, B.P., 1993. The use of EEG as a workload assessment tool in flight test (No. AFFTC-TIM-93-02). MSc Thesis, Air Force Test Center Army unit, Edwards Air Force Base, USA.

Jo, J., S.J. Lee, J. Kim, H.G. Jung and K.R. Park, 2011. Vision-based method for detecting driver drowsiness and distraction in driver monitoring system. Opt. Eng., 50: 1-25.
Direct Link  |  

Kemp, B., A. Varri, A.C. Rosa, K.D. Nielsen and J. Gade, 1992. A simple format for exchange of digitized polygraphic recordings. Electroencephalography Clin. Neurophysiol., 82: 391-393.
CrossRef  |  PubMed  |  Direct Link  |  

Lal, S.K. and A. Craig, 2001. Electroencephalography activity associated with driver fatigue: Implications for a fatigue countermeasure device. J. Psychophysiology, 15: 183-189.
CrossRef  |  Direct Link  |  

Lee, B.G. and W.Y. Chung, 2012. A smartphone-based driver safety monitoring system using data fusion. Sens., 12: 17536-17552.
CrossRef  |  PubMed  |  Direct Link  |  

Li, M.A., C. Zhang and J.F. Yang, 2010. An EEG-based method for detecting drowsy driving state. Proceedings of the 7th International Conference on Fuzzy Systems and Knowledge Discovery Vol. 5, Auguest 10-12, 2010, IEEE, Yantai, China, ISBN:978-1-4244-5931-5, pp: 2164-2167.

Mandal, B., L. Li, G.S. Wang and J. Lin, 2017. Towards detection of bus driver fatigue based on robust visual analysis of eye state. IEEE. Trans. Intell. Transp. Syst., 18: 545-557.
CrossRef  |  Direct Link  |  

Mandal, B., L. Li, G.S. Wang and J. Lin, 2017. Towards detection of bus driver fatigue based on robust visual analysis of eye state. IEEE. Trans. Intell. Transp. Syst., 18: 545-557.
CrossRef  |  Direct Link  |  

McKeown, M.J., C. Humphries, P.A. Achermann, A.A. Borbely and T.J. Sejnowski, 1998. A new method for detecting state changes in the EEG: Exploratory application to sleep data. J. Sleep Res., 7: 48-56.
PubMed  |  Direct Link  |  

Michel, C.M., M.M. Murray, G. Lantz, S. Gonzalez and L. Spinelli et al., 2014. EEG source imaging. Clin. Neurophysiol., 115: 2195-2222.
CrossRef  |  PubMed  |  Direct Link  |  

Mittal, A., K. Kumar, S. Dhamija and M. Kaur, 2016. Head movement-based driver drowsiness detection: A review of state-of-art techniques. Proceedings of the International Conference on Engineering and Technology (ICETECH), March 17-18, 2016, IEEE, Coimbatore, India, ISBN:978-1-4673-9915-9, pp: 903-908.

Nowak, R., 2004. Vapnik-chervonenkis theory (lect18). Learn., 10: 1-5.

Setz, C., B. Arnrich, J. Schumm, R. La Marca and G. Troster et al., 2010. Discriminating stress from cognitive load using a wearable EDA device. IEEE. Trans. Inf. Technol. Biomed., 14: 410-417.
CrossRef  |  PubMed  |  Direct Link  |  

Viola, P., M.J. Jones and D. Snow, 2005. Detecting pedestrians using patterns of motion and appearance. Int. J. Comput. Vision, 63: 153-161.
CrossRef  |  

Wickerhauser, M.V., A. Jensen, A. la Cour-Harbo, A. Boggess and F.J. Narcowich, 2003. Ripples in Mathematics: The discrete wavelet transform. Am. Math. Mon., 110: 163-167.
CrossRef  |  Direct Link  |