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Broadband Communications, Networks, and Systems. 12th EAI International Conference, BROADNETS 2021, Virtual Event, October 28–29, 2021, Proceedings

Research Article

Road Rage Recognition System Based on Face Detection Emotion

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  • @INPROCEEDINGS{10.1007/978-3-030-93479-8_11,
        author={Qingxin Xia and Jiakang Li and Aoqi Dong},
        title={Road Rage Recognition System Based on Face Detection Emotion},
        proceedings={Broadband Communications, Networks, and Systems. 12th EAI International Conference, BROADNETS 2021, Virtual Event, October 28--29, 2021, Proceedings},
        proceedings_a={BROADNETS},
        year={2022},
        month={1},
        keywords={Face Emotion Road rage Sliding window},
        doi={10.1007/978-3-030-93479-8_11}
    }
    
  • Qingxin Xia
    Jiakang Li
    Aoqi Dong
    Year: 2022
    Road Rage Recognition System Based on Face Detection Emotion
    BROADNETS
    Springer
    DOI: 10.1007/978-3-030-93479-8_11
Qingxin Xia1,*, Jiakang Li1, Aoqi Dong1
  • 1: North China Institute of Science and Technology
*Contact email: xiaqingxin@buaa.edu.cn.cn

Abstract

The drivers’ anger caused by the influence of external environment leads to excessive aggressive driving behavior which brings great potential danger to traffic safety. This paper proposes a method using face recognition technology to design an emotional intelligence model of road rage with a high accuracy rate. Firstly, making a homemade emotion data set of road rage according to the definition of road rage and labeling the information of road rage in the data set. Secondly, using a sliding window combined with emotional intelligence scale to determine road rage emotion of drivers, so as to regulate driving behavior. Finally, the correctness and effectiveness of road anger emotional intelligence model were verified by the experimental scenes. It is of great practical significance to reduce the impact of road rage on road safety. Demos URL:https://b23.tv/CnMw6M.

Keywords
Face Emotion Road rage Sliding window
Published
2022-01-01
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-93479-8_11
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