It is inevitable for driver assist and warning systems to consider the drivers' state of consciousness. Drowsiness is one of the important factors in estimating the drivers' state of consciousness. A method to extract the driver's initial stage of drowsiness was developed by means of the blink measurement irrelevant to the surrounding brightness and individual characteristics with motion pictures processing. The result was that an increase of the long eyelid closure time was the key factor in estimating the initial stage of drivers' drowsiness while driving. And the state of drowsiness could be presumed by checking the frequencies of long eyelid closure time per unit period.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Detecting method for drivers' drowsiness applicable to individual features


    Contributors:
    Hamada, T. (author) / Ito, T. (author) / Adachi, K. (author) / Nakano, T. (author) / Yamamoto, S. (author)


    Publication date :

    2003-01-01


    Size :

    478793 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Detecting Method for Drivers' Drowsiness Applicable to Individual Features

    Hamada, T. / Ito, T. / Adachi, K. et al. | British Library Conference Proceedings | 2003


    DETECTING DROWSINESS OF DRIVERS WITH A DETERMINISTIC HYPOVIGILANCE DIAGNOSIS MODULE

    Wilschut, E. S. / Brouwer, R. F. T. / De Waard, D. et al. | British Library Conference Proceedings | 2005


    Drivers drowsiness detection in embedded system

    Tianyi Hong, / Huabiao Qin, | IEEE | 2007


    Driver drowsiness and individual differences

    Verwey, W. / International Council on Alcohol, Drugs and Traffic Safety | British Library Conference Proceedings | 1997


    DETECTING METHOD FOR DROWSINESS DRIVING

    LEE KWANG HUI | European Patent Office | 2020

    Free access