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.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Driver Drowsiness Analysis Based on Eyelid Feature


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Wang, Shu (Autor:in) / Zhang, Zhao (Autor:in) / Wu, Zheng (Autor:in) / Liu, Jie (Autor:in) / Mo, Chunmei (Autor:in)


    Erscheinungsdatum :

    2020-11-05


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Driver Drowsiness Analysis Based on Eyelid Feature

    Wang, Shu / Zhang, Zhao / Wu, Zheng et al. | TIBKAT | 2021


    Eyelid detection device, drowsiness determination device, and eyelid detection method

    TAHARA NATSUKI / NAKAMURA YUDAI / HIRANO TAKASHI et al. | Europäisches Patentamt | 2020

    Freier Zugriff

    EYELID MOVEMENT PROCESSING FOR DETECTION OF DROWSINESS

    NILSSON BENNY / ROSEN ERIK | Europäisches Patentamt | 2019

    Freier Zugriff

    Driver Drowsiness Detection

    Satish, K. / Lalitesh, A. / Bhargavi, K. et al. | IEEE | 2020


    Driver Drowsiness Detection

    Rezaei, Mahdi / Klette, Reinhard | Springer Verlag | 2017