Bicycle behavior recognition using sensors equipped with smartphone

Yuri Usami, Kazuaki Ishikawa, Toshinori Takayama, Masao Yanagisawa, Nozomu Togawa

    研究成果: Conference contribution

    抜粋

    It becomes possible to prevent accidents beforehand by predicting dangerous riding behavior based on recognition of bicycle behaviors. In this paper, we propose a bicycle behavior recognition method using a three-axis acceleration sensor and three-axis gyro sensor equipped with a smartphone. We focus on the periodic handlebar motions for balancing while running a bicycle and reduce the sensor noises caused by them. After that, we use machine learning for recognizing the bicycle behaviors, effectively utilizing the motion features in bicycle behavior recognition. The experimental results demonstrate that the proposed method accurately recognizes the four bicycle behaviors of stop, run straight, turn right, and turn left and its F-measure becomes around 0.9 while the F-measure of the existing method just reaches 0.6-0.8.

    元の言語English
    ホスト出版物のタイトル2018 IEEE 8th International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2018
    出版者IEEE Computer Society
    2018-September
    ISBN(電子版)9781538660959
    DOI
    出版物ステータスPublished - 2018 12 13
    イベント8th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2018 - Berlin, Germany
    継続期間: 2018 9 22018 9 5

    Other

    Other8th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2018
    Germany
    Berlin
    期間18/9/218/9/5

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering
    • Industrial and Manufacturing Engineering
    • Media Technology

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  • これを引用

    Usami, Y., Ishikawa, K., Takayama, T., Yanagisawa, M., & Togawa, N. (2018). Bicycle behavior recognition using sensors equipped with smartphone. : 2018 IEEE 8th International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2018 (巻 2018-September). [8576254] IEEE Computer Society. https://doi.org/10.1109/ICCE-Berlin.2018.8576254