Browse > Article

Analysis of causal factors and physical reactions according to visually induced motion sickness  

Lee, Chae-Won (인하대학교 컴퓨터정보공학과)
Choi, Min-Kook (인하대학교 컴퓨터정보공학과)
Kim, Kyu-Sung (인하대학교 의학전문대학원 이비인후-두경부외과의교실)
Lee, Sang-Chul (인하대학교 컴퓨터정보공학과)
Publication Information
Journal of the HCI Society of Korea / v.9, no.1, 2014 , pp. 11-21 More about this Journal
Abstract
We present an experimental framework to analyze the physical reactions and causal factors of Visually Induced Motion Sickness (VIMS) using electroencephalography (EEG) signals and vital signs. We studied eleven subjects who are voluntarily participated in the experiments and conducted online and offline surveys. In order to simulate videos including global motions that could cause the motion sickness, we extracted global motions by optical flow estimation method from hand-held captured video recordings containing intense motions. Then, we applied the extracted global motions to our test videos with action movies and texts. Each genre of video includes three levels of different motions depending on its intensity. EEG signal and vital sign that were measured by a portable electrocorticography device and an electronic monometer in real time while the subjects watch the videos including ones with the extracted motions. We perform an analysis of the EEG signals using Distance Map(DM) calculated by correlation among each channel of brain signal. Analysis using the vital signs and the survey results is also performed to obtain relationship between the VIMS and causal factors. As a result, we clustered subjects into three groups based on the analysis of the physical reaction using the DM and the correlation between vital sign and survey results, which shows high relationships between the VIMS and the intensity of motions.
Keywords
Visually Induced Motion Sickness(VIMS); EEG; Vital sign; Optical flow estimation;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Richard, H. Y. So., H. Ujike.. Visually induced motion sickness, visual stress and photosensitive epileptic seizures: What do they have in common? - Preface to the special issue. Applied Ergonomics. 41(4). Elsevier. pp. 491-493. 2010.   DOI
2 Wikipedia. motion sickness. http://en.wikipedia.org/wiki/Motion_sickness. 2013.10.30.
3 David, B. T. and Philip, B.. Motion Sickness. Physiological Reviews. 29(4). American Physiological Society. pp. 311-369. 1949.   DOI
4 Griffin, M. J.. Handbook of Human Vibration. Academics press. 1990.
5 Michael, E. M., Tomas, J. S.. Cybersickness: Perception of self-motion in virtual environments. Presence: Teleoperators and Virtual Environments. 1(3). MIT Press Journals. pp. 311-318. 1992.   DOI
6 Stoffregen, T. A., Smart, L. J.. Postural instability precedes motion sickness. Brain Research Bulletin. 47(5). Elsevier. pp. 437-448. 1998.   DOI   ScienceOn
7 Lo, W. T., Richard, H. Y. So.. Cybersickness in the presence of scenerotational movements along different axes. Applied Ergonomics. 32. Elsevier. pp. 1-14. 2001.   DOI   ScienceOn
8 Andrew, T. C., Tanzeem, C., Shaohan, H., Hong, L., Matthew, K. M., Mashfiqui, R. and Rajeev, D. S. Raizada.. NeuroPhone: Brain-Mobile Phone Interface using a Wireless EEG Headset. ACM SIGCOMM workshop on Networking, systems and applications on mobile handhelds. New York. pp. 3-8. 2010.
9 Kim, E. H.. A Study on the Effect of TV Advertising Models by EEG. Korean Journal of Commnication Studies. 18(1). Korea Communication Association. pp. 273-299. 2010.
10 Lin, C. T., Wang, Y. K. and Chen, S. A.. An EEG-Based Brain-Computer Interface for Dual Task Driving Detection. Neurocomputing. 7062. Elsevier. pp. 85-93. 2014.
11 Huang, D., Zhang, H., Ang, K., Guan, C., Pan, Y., Wang, C. and Yu. J.. Fast emotion detection from EEG using asymmetric spatial filtering. IEEE. pp. 589-592. ICASSP. 2012.
12 Ko, L. W., Wei, C. S., Chen, S. A. and Lin, C. T.. EEG-Based Motion Sickness Estimation Using Principal Component Regression. Neural Information Processing. 7062. ICONIP. pp. 717-724. 2011.
13 Sun, D., Roth, S. and Black, M. J.. Secrets of optical flow estimation and their principles. San Francisco: CVPR. pp. 2432-2439. 2010.
14 Berthold, K. H., Brian G. S.. Determining optical flow. Artificial Intelligence. 17. Elsevier. pp. 185-203. 1981.   DOI   ScienceOn
15 Treisman, M.. Motion sickness: an evolutionary hypothesis. Science. 197. Highwire Press. pp. 493-495. 1997.