[1] 程如中, 赵勇, 戴勇, 等. 基于Adaboost 方法的车载嵌入式疲劳驾驶预警系统[J]. 北京大学学报(自然科学版), 2012, 48(5): 719-726.

    Cheng Ruzhong, Zhao Yong, Dai Yong, et al.. An on-board embedded driver fatigue warning system based on adaboost method[J]. Acta Scientiarum Naturalium Universitatis Pekinensis, 2012, 48(5): 719-726.

[2] Yang Q, Siemionow V, Yao W, et al.. Single-trial EEG-EMG coherence analysis reveals muscle fatigue-related progressive alterations in corticomuscular coupling[J]. Neural Systems and Rehabilitation Engineering, IEEE Transactions on, 2010, 18(2): 97-106.

[3] Zhang Y, Lu B, Su L, et al.. Multi-recognition algorithms of human′s mental fatigue state based on EEG[C]. IEEE Fifth International Conference on Advanced Computational Intelligence, 2012: 1180-1184.

[4] Luo X, Hu R, Fan T. The driver fatigue monitoring system based on face recognition technology[C]. Intelligent Control and Information Processing (ICICIP), 2013: 384-388.

[5] Xie J F, Xie M, Zhu W, et al.. Driver fatigue detection based on head gesture and PERCLOS[C]. 2012 International Conference on Wavelet Active Media Technology and Information Processing. 2012: 128-131.

[6] 张希波, 成波, 冯睿嘉. 基于方向盘操作的驾驶人疲劳状态实时检测方法[J]. 清华大学学报(自然科学版), 2010, 50(7): 1072-1076.

    Zhang Xibo, Cheng Bo, Feng Ruijia. Real- time detection of driver drowsiness based on steering performance[J]. Journal of Tsinghua Univesity (Science and Technology), 2010, 50(7): 1072-1076.

[7] Zhao C, Zhang X, Zhang B, et al.. Driver′s fatigue expressions recognition by combined features from pyramid histogram of oriented gradient and contourlet transform with random subspace ensembles[J]. Intelligent Transport Systems, 2013, 7(1): 36-45.

[8] Lee B G, Chung W Y. Driver alertness monitoring using fusion of facial features and bio- signals[J]. Sensors Journal, 2012, 12(7): 2416-2422.

[9] Wu Q, Sun B, Xie B, et al.. A PERCLOS-based driver fatigue recognition application for smart vehicle space[C]. Third International Symposium on Information Processing, 2010: 437-441.

[10] Dong H Z, Xie M. Real- time driver fatigue detection based on simplified landmarks of AAM [C]. International Conference on Apperceiving Computing and Intelligence Analysis, 2010: 363-366.

[11] Dings D, Grace R. PERCLOS: A valid psycho-physiological measure of alertness as assessed by psychomotor vigilance [J]. US Department of Transportation, 1998.

[12] Viola P, Jones M J. Robust real-time face detection[J]. International Journal of Computer Vision, 2004, 57(2): 137-154.

[13] 魏喆. 基于AdaBoost 的人脸检测[D]. 北京: 北京邮电大学, 2012: 31-33.

    Wei Zhe. Face Detection Based on Adaboost[D]. Beijing: Beijing University of Posts and Telecommunications, 2012: 31-33.

[14] 王万军, 刘青宝. 疲劳驾驶视频监测中的快速人脸定位方法[J]. 电子设计工程, 2011, 19(8): 179-181.

    Wang Wanjun, Liu Qingbao. Quick face detection in video based driver fatigue surveillant[J]. Electronic Design Engineering, 2011, 19(8): 179-181.