[1] Hu F. Application of multi-source information fusion in driving fatigue detection ［D］. Huainan: Anhui University of Science and Technology, 2014: 15-26.
[2] NHTSA. Drowsy driving and automobile crashes report ［R］. 1998: 24-49.
[3] Zhang W. Key issues of driver fatigue identification based on machine vision ［D］. Beijing: Tsinghua University, 2011: 199-204.
[4] Tasaki M, Sakai M, Watanabe M. Evaluation of drowsiness during driving using electrocardiogram-a driving simulation study［C］∥10th International Conference on Computer and Information Technology, IEEE, 2010: 1480-1485.
[5] Ramesh M V, NairA K, Kunnathu A T. Intelligent steering wheel sensor network for real-time monitoring and detection of driver drowsiness［J］. International Journal of Computer Science and Security, 2011, 1(3): 1-9.
[6] Wang F, Wang S N, Wang X H, et al. Driving fatigue detection based on EEG recognition and vehicle handling characteristics［J］. Chinese Journal of Scientific Instrument, 2014, 35(2): 398-404.
[7] Malla A M, Davidson P R, Bones P J. Automated video-based measurement of eye closure for detecting behavioral microsleep［C］∥Annual International Conference of the IEEE on Engineering in Medicine and Biology Society, 2010: 6741-6744.
[8] Hirata Y, Nishiyama J, Kinoshita S. Detection and prediction of drowsiness by reflexive eye movements［C］∥Annual International Conference of the IEEE on Engineering in Medicine and Biology Society, 2009: 4015-4018.
[9] Vural E, Bartlett M, Littlewort G. Discrimination of moderate and acute drowsiness based on spontaneous facial expressions［C］∥20th International Conference on Pattern Recognition, 2010: 3874-3877.
[10] Li M. Driver fatigue detection method based on eye and mouth features fusion［D］. Hangzhou: Zhejiang Normal University, 2011: 52-60.
[11] Cheng B, Meng C, Zhang W.A study on driver distraction detection technology based on computer vision［J］. Automotive Engineering, 2009, 31(12): 1137-1140.
[12] Wang Y F. Research and application of multi view facial feature points localization［D］. Shanghai: Shanghai Jiao Tong University, 2015: 97-99.
[13] Ibrahim L F, Abulkhair M, AlShomrani A D, et al. Using Haar classifiers to detect driver fatigue and provide alerts［J］. Multimedia Tools and Applications, 2014, 71(3): 1857-1877.
[14] Li J P, Niu Y X, Yang L, et al. Contactless driver fatigue detection and warning system based on eye state information［J］. Laser & Optoelectronics Progress, 2015, 52(4): 041101.
[15] Yang G S, Lin Y Z, Bhattacharya P. A driver fatigue recognition model based on information fusion and dynamic Bayesian network［J］. Information Sciences, 2010, 180(10): 1942-1954.
