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Changes of Potential Functions While Maintaining Upright Postures After Exposure to Stereoscopic Video Clips

  • Fumiya Kinoshita
  • Kohei Iwata
  • Yasuyuki Matsuura
  • Masaru Miyao
  • Hiroki TakadaEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9738)

Abstract

Asthenopia and visually induced motion sickness (VIMS) is a well-known phenomenon in viewing video, playing video games and others. In previous studies, we pointed out peripherally viewing as a pathogenesis of the VIMS whose evidence was also shown and described the anomalous sway by using mathematical models. Stochastic differential equations are known to be a mathematical model of the body sway. We herein discuss the metamorphism in the potential functions to control the standing posture during/after the exposure to stereoscopic video clips.

Keywords

Style Visually induced motion sickness (VIMS) Stabilometry Stereoscopic image Stochastic differential equation (SDE) Temporally averaged potential function (TAPF) 

Notes

Acknowledgements

This work was supported in part by the Japan Society for the Promotion of Science, Grant-in-Aid for Scientific Research (B) Number 24300046 and (C) Number 26350004.

References

  1. 1.
    Suyama, S., Date, M., Takada, H.: Three dimensional display system with dual frequency liquid crystal varifocal lens. Jpn. J. Appl. Phys. 39, Part 1(2A), 480–484 (2000)CrossRefGoogle Scholar
  2. 2.
    Gabor, D.: A new microscopic principle. Nature 161, 777–779 (1948)CrossRefGoogle Scholar
  3. 3.
    International standard organization: IWA3: 2005 image safety-reducing determinism in a time series. Phys. Rev. Lett. 70, 530–582 (1993)Google Scholar
  4. 4.
    Sumio, Y., Shinji, I.: Visual comfort and fatigue based on accommodation response for stereoscopic image. Inst. Image Inf. Telev. Eng. 55(5), 711–717 (2001)Google Scholar
  5. 5.
    Reason, J.T., Brand, J.J.: Motion Sickness. Academic Press, London (1975)Google Scholar
  6. 6.
    Okawa, T., Tokita, T., Shibata, Y., Ogawa, T., Miyata, H.: Stabilometry: significance of locus length per unit area (L/A) in patients with equilibrium disturbances. Equilib. Res. 55(3), 283–293 (1995)CrossRefGoogle Scholar
  7. 7.
    Barmack, N.H.: Central vestibular system: vestibular nuclei and posterior cerebellum. Brain Res. Bull. 60, 511–541 (2003)CrossRefGoogle Scholar
  8. 8.
    Japan Society for Equilibrium Research: Standard of stabilometry. Equilib. Res. 42, 367–369 (1983)Google Scholar
  9. 9.
    Kaptyen, T.S., Bles, W., Njiokiktjien, C.J., Kodde, L., Massen, C.H., Mol, J.M.: Standarization in platform stabilometry being a part of posturography. Agreessologie 24, 321–326 (1983)Google Scholar
  10. 10.
    Hase, M., Ohta, Y.: Meaning of barycentric position and measurement method. J. Environ. Eng. 8, 220–221 (2006)Google Scholar
  11. 11.
    Takada, M., Fukui, Y., Matsuura, Y., Sato, M., Takada, H.: Peripheral viewing during exposure to a 2D/3D video clip: effects on the human body. Environ. Health Prev. Med. 20, 79–89 (2015)CrossRefGoogle Scholar
  12. 12.
    Yoshikawa, K., Kinoshita, F., Miyashita, K., Sugiura, A., Kojima, T., Takada, H., Miyao, M.: Effects of two-minute stereoscopic viewing on human balance function. In: Antona, M., Stephanidis, C. (eds.) UAHCI 2015. LNCS, vol. 9176, pp. 297–304. Springer, Heidelberg (2015)CrossRefGoogle Scholar
  13. 13.
    Goldie, P.A., Bach, T.M., Evans, O.M.: Force platform measures for evaluating postural control: reliability and validity. Arch. Phys. Med. Rehabil. 70, 510–517 (1986)Google Scholar
  14. 14.
    Emmerrik, R.E.A., Van Sprague, R.L., Newell, K.M.: Assessment of sway dynamics in tardive dyskinesia and developmental disability: sway profile orientation and stereotypy. Moving Dis. 8, 305–314 (1993)CrossRefGoogle Scholar
  15. 15.
    Collins, J.J., De Luca, C.J.: Open-loop and closed-loop control of posture: a random-walk analysis of center of pressure trajectories. Exp. Brain Res. 95, 308–318 (1993)CrossRefGoogle Scholar
  16. 16.
    Newell, K.M., Slobounov, S.M., Slobounova, E.S., Molenaar, P.C.: Stochastic processes in postural center of pressure profiles. Exp. Brain Res. 113, 158–164 (1997)CrossRefGoogle Scholar
  17. 17.
    Takada, H., Kitaoka, Y., Shimizu, Y.: mathematical index and model in stabilometry. Forma 16, 17–46 (2001)zbMATHGoogle Scholar
  18. 18.
    Sokal, R.R., Rohlf, F.J.: Introduction to Biostatistics. W.H. Freeman and Company, San Francisco (1973)zbMATHGoogle Scholar
  19. 19.
    Takada, H., Kitaoka, Y., Ichikawa, M., Miyao, M.: Physical meaning on geometrical index for stabilometry. Equilib. Res. 62, 168–180 (2003)CrossRefGoogle Scholar
  20. 20.
    Ungerleider, L.G., Mishkin, M.: Two cortical visual systems. In: Ingle, D.J., Mansfield, R.J.W., Goodale, M.A. (eds.) The Analysis of Visual Behavior, pp. 549–586. MIT Press, Cambridge (1982)Google Scholar
  21. 21.
    Van Essen, D.C., Maunsell, J.H.R.: Hierarchical organization and functional streams in the visual cortex. Trends in Neurosci. 6, 370–375 (1983)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Fumiya Kinoshita
    • 1
  • Kohei Iwata
    • 1
  • Yasuyuki Matsuura
    • 2
  • Masaru Miyao
    • 1
  • Hiroki Takada
    • 1
    • 3
    Email author
  1. 1.Department of Information Engineering, Graduate School of Information ScienceNagoya UniversityNagoyaJapan
  2. 2.Faculty of Humanities and Social SciencesPrince of Songkla UniversityMuangThailand
  3. 3.Department of Human and Artificial Intelligent Systems, Graduate School of EngineeringUniversity of FukuiFukuiJapan

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