Resting-state EEG in the Vestibular Region Can Predict Motion Sickness Induced by a Motion-Simulated in-car VR Platform
- Publisher:
- IEEE
- Publication Type:
- Conference Proceeding
- Citation:
- 2023 IEEE Symposium Series on Computational Intelligence (SSCI), 2024, 00, pp. 47-52
- Issue Date:
- 2024-01-01
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| Filename | Description | Size | |||
|---|---|---|---|---|---|
| Resting-state EEG in the Vestibular Region Can Predict Motion Sickness Induced by a Motion-Simulated in-car VR Platform.pdf | Accepted version | 751.47 kB |
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Monitoring in car VR motion sickness VRMS by neurophysiological signals is a formidable challenge due to unavoidable motion artifacts caused by the moving vehicle and necessary physical movements by the user to interact with the VR environment Therefore this paper for the first time investigates if resting state neurophysiological features and self reports of stress levels collected prior to exposure to a motion simulated in car VRMS induction platform could predict final motion sickness ratings Our results of linear regression modeling show that the traditional EEG power spectrum was the only resting state feature set that could predict in car VRMS ratings Further the best regression result was achieved by beta power spectrum in the left parietal area with adjusted R2 22 6 versus 11 6 in the right This result not only confirmed the left parietal involvement in motion sickness susceptibility observed in a previous resting state fMRI study but also advanced that methodology to mobile neurotechnologies represented by mobile EEG referenced by other types of resting state features Together this study may offer a new mobile neurotechnology based approach to predict passengers VRMS levels before they start to use VR apps in a moving vehicle
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