Sleep deprivation and sleep disorder continues to cause problems on the road. Reducing the number of accidents related to driver fatigue would save the society a significant amount of money and personal suffering. Monitoring the driver's symptoms can help determine driver fatigue early enough to prevent accidents due to lack of awareness. The report describes advances towards a non-intrusive approach for real-time detection of driver fatigue. It uses a video camera that points directly toward the driver's face and monitors the driver's eye to deter micro-sleeps, or short periods of sleep of about three-to-four seconds.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Automatic Detection of Driver Fatigue. Phase 3


    Contributors:

    Publication date :

    1999


    Size :

    50 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English




    Driver Fatigue Detection

    Abdullah, Muhamad Hafiz / Raman, Kirbana Jai / Azman, Afizan et al. | Springer Verlag | 2016


    Driver fatigue detection system

    Clement, F. S. C. / Vashistha, Aditya / Rane, Milind E | IEEE | 2015


    Optimized driver safety through driver fatigue detection methods

    Wathiq, Omar / Ambudkar, Bhavna D. | IEEE | 2017


    DRIVER/OPERATOR FATIGUE DETECTION SYSTEM

    PICKETT DAVID | European Patent Office | 2024

    Free access

    Driver fatigue surveillance via eye detection

    Chang, Tang-Hsien / Yi-Ru Chen, | IEEE | 2014