Definition of different drowsiness levels has been a problem for driver monitoring system. This paper proposes a new method of analyzing driver drowsiness. Based on extracted eyelid feature and vehicle speed and with consideration that emergency occurs randomly, a probabilistic damage model is built. For a long time before, drowsiness levels are defined according to experiences. In this paper, for the first time, effect of driver drowsiness on road safety is analyzed and resulting probabilistic model provides a possibility to deduce thresholds of drowsiness levels reversely.


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    Title :

    Driver Drowsiness Analysis Based on Eyelid Feature


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Wang, Shu (author) / Zhang, Zhao (author) / Wu, Zheng (author) / Liu, Jie (author) / Mo, Chunmei (author)


    Publication date :

    2020-11-05


    Size :

    10 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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