Automatic driver drowsiness detection using haar algorithm and support vector machine techniques
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[1] Gamini Dissanayake,et al. Driver Drowsiness Classification Using Fuzzy Wavelet-Packet-Based Feature-Extraction Algorithm , 2011, IEEE Transactions on Biomedical Engineering.
[2] Jiashu Zhang,et al. A new real-time eye tracking based on nonlinear unscented Kalman filter for monitoring driver fatigue , 2010 .
[3] Zhiwei Zhu,et al. Real-time nonintrusive monitoring and prediction of driver fatigue , 2004, IEEE Transactions on Vehicular Technology.
[4] Muhammad Fahad Khan,et al. Efficient Car Alarming System for Fatigue Detection during Driving , 2012 .
[5] Prabir Bhattacharya,et al. A driver fatigue recognition model based on information fusion and dynamic Bayesian network , 2010, Inf. Sci..
[6] S.-J. Jung,et al. Real-time physiological and vision monitoring of vehicle driver for non-intrusive drowsiness detection , 2011, IET Commun..
[7] Simon G Hosking,et al. Predicting driver drowsiness using vehicle measures: recent insights and future challenges. , 2009, Journal of safety research.
[8] Xiao Fan,et al. Multiscale Dynamic Features Based Driver Fatigue Detection , 2009, Int. J. Pattern Recognit. Artif. Intell..