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ORIGINAL RESEARCH article

Front. Hum. Neurosci.

Sec. Cognitive Neuroscience

Volume 19 - 2025 | doi: 10.3389/fnhum.2025.1560920

This article is part of the Research Topic Exploring the Impact of Music Interventions on Brain Function, Behavior, and Health View all articles

An EEG-Based Analysis of the Effects of Different Music Genres on Driving Stress

Provisionally accepted
  • 1 Henan Institute of Science and Technology, Xinxiang, Henan Province, China
  • 2 Chongqing University of Arts and Sciences, Chongqing, China
  • 3 Southwest University, Chongqing, Chongqing Municipality, China

The final, formatted version of the article will be published soon.

    Sudden road conditions can trigger drivers' psychological stress, increasing the risk of traffic accidents. Music, as an emotion regulation tool, effectively alleviates stress and enhances psychological health. However, the effects of different genres of music on drivers' stress remain understudied. To address this, the present study collected 120 EEG recordings from 60 drivers in a standardized simulated driving environment and developed a classification model based on EEG signals to recognize emotions. By integrating time-frequency domain features (mean, variance, skewness, kurtosis, and power spectral density) with classification algorithms, the model accurately identified slight, moderate, and severe stress states in drivers, achieving an accuracy of 90%. Furthermore, the study evaluated the intervention effects of four types of music (joyful, sorrowful, exhilarating, and gentle) on stress using EEG signals and subjective stress ratings. The results showed that gentle music had the best stress-relieving effect in both slight and severe stress states, reducing stress by 41.67% and 45%, respectively, whereas joyful music was most effective in relieving moderate stress, reducing moderate stress by 50%. In contrast, exhilarating and sorrowful music had weaker effects. Additionally, the asymmetry of frontal pole EEG signals was found to be significantly negatively correlated with stress levels. This finding further supports the accuracy of the emotion recognition model and the potential effectiveness of the music intervention strategy. The study demonstrates that personalized music intervention strategies can help alleviate drivers' stress, thereby improving psychological health, enhancing driving safety, and increasing driving comfort.

    Keywords: Music intervention, emotion, Brain, Driving stress, Driving Behavior, Driving safety

    Received: 15 Jan 2025; Accepted: 05 Mar 2025.

    Copyright: © 2025 Li, Li, Tang, Yue, Luo and Zhu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Bangbei Tang, Chongqing University of Arts and Sciences, Chongqing, China
    Qizong Yue, Southwest University, Chongqing, 400715, Chongqing Municipality, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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