Feature Classification of Skilled and Unskilled Persons in Car Driving Operation

Takuro Sugita*, Reiko Mitsuya, Takeshi Torii, Akiko Sugiyama, Kohei Sugawara, Hiroki Dobashi, Takashi Kawai

*この研究の対応する著者

    研究成果

    抄録

    This study was conducted to find out exactly how experts are driving a car from objective data during driving operation, focusing on improving driving skills. Experiments were conducted using a sports sedan type experimental vehicle that can change the assist amount of the steering wheel, using a circumferential circuit having multiple curves in an automobile company. For the analysis, steering angle data obtained from the vehicle and electromyogram data obtained from an electromyograph are used. From the analysis of the steering angle, the skilled turn curves with less turning the steering compared to the unskilled. From the analysis of the steering angular velocity data and the steering angular acceleration data, it became possible to classify them into skilled and unskilled in the steering handle operation rhythm during driving. From the analysis of the electromyogram data, focusing on the triangular muscle on the push side during the curve, it became possible to classify into skilled and unskilled.

    本文言語English
    ホスト出版物のタイトルAdvances in Human Aspects of Transportation - Proceedings of the AHFE 2018 International Conference on Human Factors in Transportation, 2018
    出版社Springer-Verlag
    ページ739-748
    ページ数10
    ISBN(印刷版)9783319938844
    DOI
    出版ステータスPublished - 2019 1 1
    イベントAHFE International Conference on Human Factors in Transportation, 2018 - [state] FL, United States
    継続期間: 2018 7 212018 7 25

    出版物シリーズ

    名前Advances in Intelligent Systems and Computing
    786
    ISSN(印刷版)2194-5357

    Other

    OtherAHFE International Conference on Human Factors in Transportation, 2018
    国/地域United States
    City[state] FL
    Period18/7/2118/7/25

    ASJC Scopus subject areas

    • 制御およびシステム工学
    • コンピュータ サイエンス(全般)

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