Optical Technique, Volume. 51, Issue 3, 345(2025)

Fatigue state evaluation system based on adaptive threshold optimization

ZHAO He, MEN Gaofu, and LIU Xu*
Author Affiliations
  • School of Mathematics and Physics Science and Engineering, Hebei University of Engineering, Handan 056038, China
  • show less
    References(12)

    [1] [1] Sahayadhas A, Sundaraj K, Murugappan M. Detecting driver drowsiness based on sensors: a review[J]. Sensors,2012,12(12):16937—16953.

    [2] [2] Wang H, Zhang C, Shi T, et al. Real-time EEG-based detection of fatigue driving danger for accident prediction[J]. International Journal of Neural Systems,2014,25(2):1550002.

    [3] [3] He L, Zhang L, Sun Q, et al. A generative adaptive convolutional neural network with attention mechanism for driver fatigue detection with class-imbalanced and insufficient data[J]. Behavioural Brain Research,2024,464:114898.

    [4] [4] Soares G, de Lima D, Neto A M. A mobile application for driver's drowsiness monitoring based on PERCLOS estimation[J]. IEEE Latin America Transactions,2019,17(2):193—202.

    [7] [7] Ran X, He S, Li R. Research on fatigued-driving detection method by integrating lightweight YOLOv5s and facial 3D Keypoints[J]. Sensors,2023,23(19):8267.

    [8] [8] Wang M, Guo L, Chen W Y. Blink detection using Adaboost and contour circle for fatigue recognition[J]. Computers & Electrical Engineering,2017,58:502—512.

    [9] [9] Ursulescu O, Ilie B, Simion G. Driver drowsiness detection based on eye analysis[C]∥2018 International Symposium on Electronics and Telecommunications.New York,USA:IEEE,2018:1—4.

    [14] [14] Cao J, Bao W, Shang H, et al. GCL-YOLO: A GhostConv-based lightweight yolo network for UAV small object detection[J]. Remote Sensing,2023,15(20):4932.

    [15] [15] Howard A, Sandler M, Chen B, et al. Searching for mobilenetv3[C]∥Proceedings of the IEEE/CVF International Conference on Computer Vision.New York,USA:IEEE,2019:1314—1324.

    [17] [17] Lin M, Chen Q, Yan S C. Network in network[J]. ArXiv Preprint ArXiv,2013,1312:4400.

    [18] [18] Ramachandran P, Zoph B, Le Q V. Searching for activation functions[J]. ArXiv Preprint ArXiv,2017,1710:05941.

    [19] [19] Bowman D S, Hanowski R. J, Alden A, et al. PERCLOS+: development of a robust field measure of driver drowsiness[C]∥15th World Congress on Intelligent Transport Systems and ITS America’s 2008 Annual Meeting. New York, USA:Transportation Research Board,2008:1—12.

    Tools

    Get Citation

    Copy Citation Text

    ZHAO He, MEN Gaofu, LIU Xu. Fatigue state evaluation system based on adaptive threshold optimization[J]. Optical Technique, 2025, 51(3): 345

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Dec. 31, 2024

    Accepted: May. 29, 2025

    Published Online: May. 29, 2025

    The Author Email: LIU Xu (liuxu@hebeu.edu.cn)

    DOI:

    Topics