This paper presents detection technology for a driver monitoring system using JINS MEME, an eyewear-type wearable device. Serious accidents caused by human error such as dozing while driving or inattentive driving have been increasing recently in Japan. JINS MEME is expected to contribute to reducing the number of traffic deaths by constantly monitoring the driver with an ocular potential sensor. This paper also explains how a driver’s drowsiness level can be estimated from information on their blink rate, which can be calculated from the ocular potential.


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    Titel :

    A Wearable Device for Traffic Safety - A Study on Estimating Drowsiness with Eyewear, JINS MEME


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:
    Inoue, Kazutaka (Autor:in) / Yuki, Mori (Autor:in) / Niwa, Shinji (Autor:in) / Shioya, Shunsuke (Autor:in) / Noro, Tetsushi (Autor:in)

    Kongress:

    SAE 2016 World Congress and Exhibition ; 2016



    Erscheinungsdatum :

    2016-04-05




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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