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.
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Acknowledgements
This paper is respectively supported by basic science and technology business of central institutions of higher learning (NCIST funding) under No. 3142020018, and by Langfang science and technology project under No. 2021011025.
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Xia, Q., Li, J., Dong, A. (2022). Road Rage Recognition System Based on Face Detection Emotion. In: Xiang, W., Han, F., Phan, T.K. (eds) Broadband Communications, Networks, and Systems. BROADNETS 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 413. Springer, Cham. https://doi.org/10.1007/978-3-030-93479-8_11
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DOI: https://doi.org/10.1007/978-3-030-93479-8_11
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