Driver drowsiness estimation using facial wrinkle feature

Taro Nakamura, Tatsuhide Matsuda, Akinobu Maejima, Shigeo Morishima

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Citations (Scopus)

    Abstract

    In recent years, the rate of fatal motor vehicle accidents caused by distracted driving resulting from factors such as sleeping at the wheel has been increasing. Therefore, an alert system that detects driver drowsiness and prevents accidents as a result by warning drivers before they fall asleep is urgently required. Non-contact measuring systems using computer vision techniques have been studied, and in vision approach, it is important to decide what kind of feature we should use for estimating drowsiness.

    Original languageEnglish
    Title of host publicationACM SIGGRAPH 2013 Posters, SIGGRAPH 2013
    DOIs
    Publication statusPublished - 2013
    EventACM Special Interest Group on Computer Graphics and Interactive Techniques Conference, SIGGRAPH 2013 - Anaheim, CA
    Duration: 2013 Jul 212013 Jul 25

    Other

    OtherACM Special Interest Group on Computer Graphics and Interactive Techniques Conference, SIGGRAPH 2013
    CityAnaheim, CA
    Period13/7/2113/7/25

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    ASJC Scopus subject areas

    • Computer Graphics and Computer-Aided Design
    • Computer Vision and Pattern Recognition
    • Software

    Cite this

    Nakamura, T., Matsuda, T., Maejima, A., & Morishima, S. (2013). Driver drowsiness estimation using facial wrinkle feature. In ACM SIGGRAPH 2013 Posters, SIGGRAPH 2013 [30] https://doi.org/10.1145/2503385.2503418