Perception of drowsiness based on correlation with facial image features

Yugo Sato, Takuya Kato, Naoki Nozawa, Shigeo Morishima

    研究成果: Conference contribution

    抜粋

    This paper presents a video-based method for detecting drowsiness. Generally, human beings can perceive their fatigue and drowsiness through looking at faces. The ability to perceive the fatigue and the drowsiness has been studied in many ways. The drowsiness detection method based on facial videos has been proposed [Nakamura et al. 2014]. In their method, a set of the facial features calculated with the Computer Vision techniques and the k-nearest neighbor algorithm are applied to classify drowsiness degree. However, the facial features that are ineffective against reproducing the perception of human beings with the machine learning method are not removed. This factor can decrease the detection accuracy.

    元の言語English
    ホスト出版物のタイトルProceedings of the ACM Symposium on Applied Perception, SAP 2016
    出版者Association for Computing Machinery, Inc
    ページ139
    ページ数1
    ISBN(電子版)9781450343831
    DOI
    出版物ステータスPublished - 2016 7 22
    イベントACM Symposium on Applied Perception, SAP 2016 - Anaheim, United States
    継続期間: 2016 7 222016 7 23

    Other

    OtherACM Symposium on Applied Perception, SAP 2016
    United States
    Anaheim
    期間16/7/2216/7/23

    ASJC Scopus subject areas

    • Computational Theory and Mathematics
    • Software
    • Applied Mathematics
    • Theoretical Computer Science

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  • これを引用

    Sato, Y., Kato, T., Nozawa, N., & Morishima, S. (2016). Perception of drowsiness based on correlation with facial image features. : Proceedings of the ACM Symposium on Applied Perception, SAP 2016 (pp. 139). Association for Computing Machinery, Inc. https://doi.org/10.1145/2931002.2947705