Bicycle behavior recognition using sensors equipped with smartphone

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

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

    Abstract

    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.

    Original languageEnglish
    Title of host publication2018 IEEE 8th International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2018
    PublisherIEEE Computer Society
    Volume2018-September
    ISBN (Electronic)9781538660959
    DOIs
    Publication statusPublished - 2018 Dec 13
    Event8th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2018 - Berlin, Germany
    Duration: 2018 Sep 22018 Sep 5

    Other

    Other8th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2018
    CountryGermany
    CityBerlin
    Period18/9/218/9/5

    Fingerprint

    Bicycles
    Smartphones
    Sensors
    Learning systems
    Accidents

    Keywords

    • acceleration sensor
    • behavior recognition
    • bicycle
    • gyro sensor
    • smartphone

    ASJC Scopus subject areas

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

    Cite this

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

    Bicycle behavior recognition using sensors equipped with smartphone. / Usami, Yuri; Ishikawa, Kazuaki; Takayama, Toshinori; Yanagisawa, Masao; Togawa, Nozomu.

    2018 IEEE 8th International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2018. Vol. 2018-September IEEE Computer Society, 2018. 8576254.

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

    Usami, Y, Ishikawa, K, Takayama, T, Yanagisawa, M & Togawa, N 2018, Bicycle behavior recognition using sensors equipped with smartphone. in 2018 IEEE 8th International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2018. vol. 2018-September, 8576254, IEEE Computer Society, 8th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2018, Berlin, Germany, 18/9/2. https://doi.org/10.1109/ICCE-Berlin.2018.8576254
    Usami Y, Ishikawa K, Takayama T, Yanagisawa M, Togawa N. Bicycle behavior recognition using sensors equipped with smartphone. In 2018 IEEE 8th International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2018. Vol. 2018-September. IEEE Computer Society. 2018. 8576254 https://doi.org/10.1109/ICCE-Berlin.2018.8576254
    Usami, Yuri ; Ishikawa, Kazuaki ; Takayama, Toshinori ; Yanagisawa, Masao ; Togawa, Nozomu. / Bicycle behavior recognition using sensors equipped with smartphone. 2018 IEEE 8th International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2018. Vol. 2018-September IEEE Computer Society, 2018.
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