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Annals of Computer Science and Information Systems, Volume 15

Proceedings of the 2018 Federated Conference on Computer Science and Information Systems

Towards Amblyopia Therapy Using Mixed Reality Technology

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DOI: http://dx.doi.org/10.15439/2018F335

Citation: Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 15, pages 279282 ()

Full text

Abstract. This paper presents an approach towards aiding the rehabilitation exercises in amblyopia care using mixed reality technology. The Lazy Eye Syndrome is tackled here through an interactive holographic application implemented on Microsoft HoloLens device. It provides an entertaining way for the handicapped eye workout as it is based on a simple game of skill. The game is designed in a way that the majority of aware-requiring objects and events are displayed for the cured eye only, remaining the other eye responsible for background and additional information perception. Such disproportion forces an increased activity of the lazy eye, which is to perform more movements and impose the brain to process the sight more extensively. The proposed prototype is an extension of a novel approach towards treating amblyopia, employing software-based stimulation techniques, which could be easily adapted to various age and ability correlated needs of the user, with minimal requirements regarding the exercise setting and preparation.

References

  1. J. M. Holmes and M. P. Clarke, “Amblyopia,” The Lancet, vol. 367, no. 9519, pp. 1343 – 1351, 2006.
  2. P. Waddingham, S. Cobb, R. Eastgate, and R. Gregson, “Virtual reality for interactive bi nocular treatment of amblyopia,” in Proc. 6th Intl Conf. Disability, Virtual Reality & Assoc. Tech., Esbjerg, Denmark,, 2006.
  3. B. Thompson, B. Mansouri, L. Koski, and R. Hess, “Brain plasticity in the adult: Modulation of function in amblyopia with rtms,” Current Biology, vol. 18, Issue 14, 2008.
  4. R. F. Hess, B. Mansouri, and B. Thompson, “A new binocular approach to the treatment of amblyopia in adults well beyond the critical period of visual development,” Restorative Neurology and Neuroscience 28 1–10, 2010.
  5. R. Li, C. Ngo, and D. L. J. Nguyen, “Video-game play induces plasticity in the visual system of adults with amblyopia,” PLoS Biol 9(8), 2011.
  6. R. Eastgate, “Modified virtual reality technology for treatment of amblyopia,” Eye volume 20, pages 370–374, 2006.
  7. P. Žiak, A. Holm, J. Halička, P. Mojžiš, and D. P. Piñero, “Amblyopia treatment of adults with dichoptic training using the virtual reality oculus rift head mounted display: preliminary results,” BMC Ophthalmology, vol. 17, p. 105, Jun 2017.
  8. E. Birch, “Binocular ipad treatment for amblyopia in preschool children,” Journal of American Association for Pediatric Ophthalmology and Strabismus JAAPOS , Volume 19 , Issue 1 , 6 - 11, 2014.
  9. A. Gargantini, “A low-cost virtual reality game for amblyopia rehabilitation,” in REHAB ’15 Proceedings of the 3rd 2015 Workshop on ICTs for improving Patients Rehabilitation Research Techniques, 2015.
  10. J. Blaha, “Initial study results indicate vr game is effective in improving vision in people with lazy eye,” 2015.
  11. D. Mezad-Koursh, “Home use of binocular dichoptic video content device for treatment of amblyopia: a pilot study,” Journal of American Association for Pediatric Ophthalmology and Strabismus JAAPOS, 2016.
  12. M. Meehan, B. Insko, M. Whitton, and F. P. Brooks, Jr., “Physiological measures of presence in stressful virtual environments,” ACM Trans. Graph., vol. 21, pp. 645–652, July 2002.
  13. M. S. Maria V. Sanchez-Vives, “From presence to consciousness through virtual reality,” Nature Reviews Neuroscience volume 6, pages 332–339, 2005.
  14. Z. Pan, A. D. Cheok, H. Yang, J. Zhu, and J. Shi, “Virtual reality and mixed reality for virtual learning environments,” Computers & Graphics, vol. 30, no. 1, pp. 20 – 28, 2006.
  15. P. C. Grigore C. Burdea, Virtual Reality Techology. 2003.
  16. F. L. Kooi and A. Toet, “Visual comfort of binocular and 3d displays,” Displays, vol. 25, no. 2, pp. 99 – 108, 2004.
  17. A. Wojciechowski and K. Fornalczyk, “Exponentially smoothed interactive gaze tracking method.,” Springer, Cham, In International Conference on Computer Vision and Graphics (pp. 645-652), September, 2014.
  18. G. Glonek and A.Wojciechowski, “Hybrid orientation based human limbs motion tracking method,” Sensors, vol. 17(12), 2017.
  19. A. Romanowski, “Big data-driven contextual processing methods for electrical capacitance tomography,” IEEE Transactions on Industrial Informatics, vol. http://dx.doi.org/10.1109/TII.2018.2855200, p. in press, 2018.
  20. K.Grudzien, A.Romanowski, D.Sankowski, and R.A.Williams, “Gravitational granular flow dynamics study based on tomographic data processing,” Particulate Science and Technology, vol. 26, no. 1, pp. 67–82, 2008.
  21. V. Mosorov and D. Sankowski, “Estimation of the rotation angle of gas/solid swirl flow by subpixel image resizing,” Asia-Pacific Journal of Chemical Engineering, vol. 13, no. 2, p. e2177, 2018.
  22. K. Grudzien, “Visualization system for large-scale silo flow monitoring based on ect technique,” IEEE Sensors Journal, vol. 17, pp. 8242–8250, December 2017.
  23. A. Romanowski, K. Grudzien, Z. Chaniecki, and P. Wozniak, “Contextual processing of ECT measurement information towards detection of process emergency states,” in Hybrid Intelligent Systems (HIS), 2013 13th International Conference on, pp. 291–297, 2013.
  24. C. Chen, P. W. Woźniak, A. Romanowski, M. Obaid, T. Jaworski, J. Kucharski, K. Grudzień, S. Zhao, and M. Fjeld, “Using crowdsourcing for scientific analysis of industrial tomographic images,” ACM Trans. Intell. Syst. Technol., vol. 7, no. 4, pp. 52:1–52:25, 2016.
  25. I. Jelliti, A. Romanowski, and K. Grudzien, “Design of crowdsourcing system for analysis of gravitational flow using x-ray visualization,” in FedCSIS’16, ACSIS, vol. 8. IEEE, p. 1613–1619.
  26. A. Romanowski, “Contextual processing of electrical capacitance tomography measurement data for temporal modeling of pneumatic conveying process,” in Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, FedCSIS’18, ACSIS, vol. 15 http://dx.doi.org/10.15439/2018F171