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Real-time detection method of angry driving behavior based on bracelet data
更新时间：2025-05-26

    • Real-time detection method of angry driving behavior based on bracelet data

    • “Progress has been made in the research of using smart wristbands to detect angry driving behavior, and significant influencing indicators have been screened. The KNN algorithm model has the best anger recognition effect, with an accuracy rate of 75% to 86%, providing a new approach for effectively monitoring angry driving behavior.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 54, Issue 12, Pages: 3505-3512(2024)
    • 作者机构：

      1.长安大学 汽车运输安全保障技术交通行业重点实验室， 西安 710064

      2.长安大学 汽车学院， 西安 710064

    • DOI：10.13229/j.cnki.jdxbgxb.20230184    

      CLC： U492.8

    • Received：01 March 2023，

      Published：01 December 2024

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  • NIU Shi-feng,YU Shi-jie,LIU Yan-jun,et al.Real-time detection method of angry driving behavior based on bracelet data[J].Journal of Jilin University(Engineering and Technology Edition),2024,54(12):3505-3512. DOI： 10.13229/j.cnki.jdxbgxb.20230184.

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