A Pilot Study on Electroencephalogram-based Evaluation of Visually Induced Motion Sickness
The most prominent problem in virtual reality (VR) technology is that users may experience motion-sickness-like symptoms when they immerse into a VR environment. These symptoms are recognized as visually induced motion sickness (VIMS) or virtual reality motion sickness. The objectives of this study were to investigate the association between the electroencephalogram (EEG) and subjectively rated VIMS level (VIMSL) and find EEG markers for VIMS evaluation. A VR-based vehicle-driving simulator was used to induce VIMS symptoms, and a wearable EEG device with four electrodes (the Muse) was used to collect EEG data. The results suggest that individual tolerance, susceptibility, and recoverability to VIMS varied largely among subjects; the following markers were shown to be significantly different from no-VIMS and VIMS states (P < 0.05): (1) means of gravity frequency (GF) for [email protected], [email protected], [email protected], [email protected], and [email protected]; (2) standard deviation of GF for [email protected], [email protected], [email protected], [email protected], and [email protected](FP2‐FP1); (3) standard deviation of power spectral entropy for FP1; (4) means of Kolmogorov complexity (KC) for TP9, FP1, and FP2. These results also demonstrate that it is feasible to perform VIMS evaluation using an EEG device with a few electrodes.
Document Type: Research Article
Affiliations: 1: College of Computer Science, Chongqing University, Chongqing, China 2: College of Information Science and Engineering, Shanxi Agricultural University, Taigu County, Jinzhong City, Shanxi Province, China 3: School of Microelectronics and Communication Engineering, Chongqing University, Chongqing, China 4: Schepens Eye Research Institute, Massachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, MA, USA
Publication date: March 1, 2020
This article was made available online on January 31, 2020 as a Fast Track article with title: "A Pilot Study on Electroencephalogram-based Evaluation of Visually Induced Motion Sickness".
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