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A Study on the Alleviation of Motion Sickness Through Olfactory and Auditory Stimulation Based on EEG Features
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Zhen Fan1, 2, Bangbei Tang2, 3, Yan Li2, Bingjie Luo2, Huoping Lu2
Automotive Engineer | 2026, (5) : 42 - 48
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Automotive Engineer | 2026, (5): 42-48
A Study on the Alleviation of Motion Sickness Through Olfactory and Auditory Stimulation Based on EEG Features
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Zhen Fan1, 2, Bangbei Tang2, 3, Yan Li2, Bingjie Luo2, Huoping Lu2
Affiliations
  • 1.School of Mechanical Engineering, Sichuan University of Science & Engineering, Yibin 643002
  • 2.School of Intelligent Manufacturing Engineering, Chongqing University of Arts and Sciences, Chongqing 402160
  • 3.Physiology Teaching and Research Section, Army Medical University, Chongqing 400038
Published: 2026-05-15 doi: 10.20104/j.cnki.1674-6546.20250257
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To address the issue of motion sickness among passengers in autonomous driving scenarios, which significantly compromises the travel experience, this study proposes an olfactory and auditory mitigation method based on EEG analysis. Using mint gas and alpha brainwave music as stimuli, an autonomous driving environment is constructed via a driving simulation platform. EEG signals are collected from 30 participants, and three motion sickness mitigation protocols (auditory, olfactory, and combined auditory-olfactory) are designed. Combining temporal and frequency domain features (mean, variance, skewness, kurtosis, power spectral density) from EEG signals with classification algorithms, an EEG-based motion sickness recognition model is developed. This model is then used to evaluate the efficacy of the three approaches in alleviating motion sickness. Results indicate: The auditory & olfactory protocol demonstrated the highest efficacy, reducing Relief Index (RI) by an average of 58%. The olfactory-only protocol showed moderate efficacy, reducing RI by an average of 35%. The auditory-only protocol exhibited the lowest efficacy, reducing RI by an average of 21%.

EEG features  /  Menthol gas  /  Brainwave music  /  Sensory relief  /  Motion sickness detection
范瑧, 唐帮备, 李衍, 罗冰洁, 陆火平. 基于脑电特征的嗅觉与听觉对晕动症的缓解研究. 汽车工程师, 2026 , (5) : 42 -48 . DOI: 10.20104/j.cnki.1674-6546.20250257
Zhen Fan, Bangbei Tang, Yan Li, Bingjie Luo, Huoping Lu. A Study on the Alleviation of Motion Sickness Through Olfactory and Auditory Stimulation Based on EEG Features[J]. Automotive Engineer, 2026 , (5) : 42 -48 . DOI: 10.20104/j.cnki.1674-6546.20250257
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Year 2026 volume Issue 5
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doi: 10.20104/j.cnki.1674-6546.20250257
  • Online Date：2026-09-20
  • Published：2026-05-15
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  • Revised：2025-10-23
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Affiliations
    1.School of Mechanical Engineering, Sichuan University of Science & Engineering, Yibin 643002
    2.School of Intelligent Manufacturing Engineering, Chongqing University of Arts and Sciences, Chongqing 402160
    3.Physiology Teaching and Research Section, Army Medical University, Chongqing 400038
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https://castjournals.cast.org.cn/joweb/qcgcs/EN/10.20104/j.cnki.1674-6546.20250257
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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