ORIGINAL RESEARCH article
Front. Hum. Neurosci.
Sec. Cognitive Neuroscience
Volume 19 - 2025 | doi: 10.3389/fnhum.2025.1636109
This article is part of the Research TopicExploring the Impact of Music Interventions on Brain Function, Behavior, and HealthView all 6 articles
A study on the mitigating effect of different music types on motion sickness based on EEG analysis
Provisionally accepted
- 1Henan Institute of Science and Technology, Xinxiang, China
- 2Chongqing University of Arts and Sciences, Chongqing, China
- 3Army Medical University, Chongqing, China
- 4Southwest University, Chongqing, China
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Motion sickness often causes passengers to experience negative emotions such as tension, which in turn triggers symptoms like dizziness and nausea, seriously affecting the travel experience of passengers. Previous studies have shown that music can alleviate negative emotions such as tension, but its effect on motion sickness remains unclear, and the differences in the alleviation effect of different types of music on motion sickness need to be quantitatively evaluated. We collected Electroencephalogram(EEG) data from 30 subjects in a simulated driving environment and constructed a motion sickness recognition model by combining time-and frequency-domain features (mean, variance, skewness, kurtosis, power spectral density) with classification algorithms. The model achieved accurate identification of passenger motion sickness states. Based on this model, the intervention effects of four types of music (joyful, sad, stirring, and soft) on motion sickness were further evaluated and compared with the control group (taking natural recovery measures). The results showed that soft and joyful music had better intervention effects (average reduction of 56.7% and 57.3%, respectively), followed by passionate and sad music (average reduction of 48.3% and 40%, respectively), among which the alleviation effect of sad music was lower than that of the control group (average reduction of 43.3%). In addition, it was verified that the EEG Kolmogorov-Chaitin complexity in the occipital region was significantly negatively correlated with the motion sickness grade (𝜌 = -0.625, 𝑝 < 0.005). The study suggests that personalized music intervention strategies may effectively alleviate motion sickness symptoms of passengers, thereby increasing cabin comfort and improving the travel experience of passengers.
Keywords: Electroencephalographic data, Motion sickness recognition, Relief methods, Music Therapy, machine learning
Received: 27 May 2025; Accepted: 30 Jun 2025.
Copyright: © 2025 Li, Li, Li, Luo, Tang and Yue. 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, Army Medical University, Chongqing, China
Qizong Yue, Southwest University, Chongqing, China
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