Skip to main content

The Analysis of the Influence of Virtual Reality on Parameters of Gait on a Treadmill According to Adjusted and Non-adjusted Pace of the Visual Scenery

  • Conference paper
  • First Online:
Information Technology in Biomedicine (ITIB 2019)

Abstract

The use of VR Technology is a trend aiming at the improvement of the efficacy of the exercises performed. There is worldwide research on the influence of 3D graphics on human senses. There has not been any research done concerning the influence of VR using HMD systems on the change of gait parameters on the treadmill. The objective of the research is to determine of the influence of computer graphics on the gait parameters, based on the ground reaction measurement. The study included 32 participants. In the course of 6 measurements the participants were walking on the treadmill at two different velocities. In the first stage the gait was not accompanied by 3D projection, and next they put on HMD glasses which projected the designed graphic scenery. At first the scenery was synchronized with the treadmill movement. During this trial the distribution of feet on the ground was measured and on this basis 16 kinematic parameters were determined.

The results of the research imply that for all values measured during gait there are no significant differences between the measurement performed during real world observation and using HMD. In cases when there was no synchronization of scenery and treadmill, differences were observed for the change of treadmill velocity in relation to the scenery.

On the basis of the research it may be concluded that the world simulation performed by means of VR was real enough not to influence the change of gait parameters determined on the basis of the ground reaction.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Bauby, C.E., Kuo, A.D.: Active control of lateral balance in human walking. J. Biomech. 33, 1433–40 (2000)

    Article  Google Scholar 

  2. Cikajlo, I., Matjaćić, Z.: Advantages of visual reality technology in rehabilitation of people with neuromuscular disorders. Recent Adv. Biomed. Eng. 301–320 (2009). ISBN 978-953-307-004-9

    Google Scholar 

  3. Cunningham, D.W., Nusseck, H.G., Teufel, H., Wallraven, C., Bülthoff, H.H.: A psychophysical examination of swinging rooms, cylindrical virtual reality setups, and characteristic trajectories. In: Proceedings-IEEE Virtual Reality, vol. 15 (2006)

    Google Scholar 

  4. Drużbicki, M., Przysada, G., Guzik, A., Kwolek, A., Brzozowska-Magoń, A., Sobolewski, M.: Evaluation of the impact of exercise of gait on a treadmill on balance of people who suffered from cerebral stroke. Acta Bioeng. Biomech. 18(4), 41–48 (2016)

    Google Scholar 

  5. Durgin, F.H., Gigone, K., Scott, R.: Perception of visual speed while moving. J. Exp. Psychol. Hum. Percept. Perform. 31, 339–353 (2005). (Hollman, J.H., Brey, R.H., Robb, R.A., Bang, T.J., Kaufman, K.R.: Spatiotemporal gait deviations in a virtual reality environment. Gait Posture 23, 441–444, 2006)

    Google Scholar 

  6. Gzik, M., Wodarski, P., Jurkojć, J., Michnik, R., Bieniek, A.: Interactive system of enginering support of upper limb diagnosis. Adv. Intell. Syst. Comput. 526, 115–123 (2017)

    Google Scholar 

  7. Hof, A.L., Gazendam, M.G., Sinke, W.E.: The condition for dynamic stability. J. Biomech. 38(1), 1–8 (2005)

    Article  Google Scholar 

  8. Hof, A.L., van Bockel, R.M., Schoppen, T., Postema, K.: Control of lateral balance in walking. Experimental findings in normal subjects and above-knee amputees. Gait Posture 25(2), 250–258 (2007)

    Google Scholar 

  9. Janeh, O., Langbehn, E., Steinicke, F., Bruder, G., Gulberti, A., Poetter-Nerger, M.: Walking in virtual reality: effects of manipulated visual self-motion on walking biomechanics. ACM Trans. Appl. Percept. 2(3), 1–15 (2010)

    Google Scholar 

  10. Jurkojć, J., Wodarski, P., Michnik, R., Nowakowska, K., Bieniek, A., Gzik, M.: The upper limb motion deviation index: a new comprehensive index of upper limb motion pathology. Acta Bioeng. Biomech. 19(2), 175–185 (2017)

    Google Scholar 

  11. Kastavelis, D., Mukherjee, M., Decker, L.M., Stergiou, N.: The effect of virtual reality on gait variability. Nonlinear Dyn. Psychol. Life Sci. 14(3), 239–56 (2010)

    Google Scholar 

  12. Krebs, D.E., Goldvasser, D., Lockert, J.D., Portney, L.G., Gill-Body, K.M.: Is base of support greater in unsteady gait? Phys. Ther. 82, 138–47 (2002)

    Article  Google Scholar 

  13. Maki, B.E.: Gait changes in older adults: predictors of falls or indicators of fear. J. Am. Geriatr. Soc. 45, 313–20 (1997)

    Article  Google Scholar 

  14. McAndrew, P.M., Dingwell, J.B., Wilken, J.M.: Walking variability during continuous pseudo-random oscillations of the support surface and visual field. J. Biomech. 43(8), 1470–1475 (2010)

    Article  Google Scholar 

  15. McAndrew, P.M., Wilken, J.M., Dingwell, J.B.: Dynamic stability of human walking in visually and mechanically destabilizing environments. J. Biomech. 44(4), 644–649 (2010)

    Article  Google Scholar 

  16. Menz, H.B., Lord, S.R., Fitzpatrick, R.C.: Age-related differences in walking stability. Age Ageing 32, 137–42 (2003)

    Article  Google Scholar 

  17. Michnik, R., Jurkojć, J., Wodarski, P., Gzik, M., Jochymczyk-Woźniak, K., Bieniek, A.: The influence of frequency of visual disorders on stabilographic parameters. Acta Bioeng. Biomech. 18(1), 25–33 (2016)

    Google Scholar 

  18. Michnik, R., Nowakowska, K., Jurkojć, J., Jochymczyk-Woźniak, K., Kopyta, I.: Motor function assessment method based on energy change in gait cycle. Acta Bioeng. Biomech. 19(4), 63–75 (2017)

    Google Scholar 

  19. Pai, Y.C., Patton, J.: Center of mass velocity-position predictions for balance control. J. Biomech. 30(4), 347–354 (1997)

    Article  Google Scholar 

  20. Peruzzi, A., Cereatti, A., Della Croce, U., Mirelman, A.: Effects of a virtual reality and treadmill training on gait of subjects with multiple sclerosis: a pilot study. Mult. Scler. Relat. Disord. 5, 91–96 (2016)

    Article  Google Scholar 

  21. Schellenbach, M., Lovden, M., Verrel, J., Kruger, A., Lindenberger, U.: Adult age diffrences in familiarization to treadmill walking within virtual environments. Gait Posture 31, 295–299 (2010)

    Article  Google Scholar 

  22. Sloot, L.H., van der Krogt, M.M., Harlaar, J.: Self-paced versus fixed speed treadmill walking 2014. Gait Posture 39(1), 478–484. (Sheik-Nainar, M.A., Kaber, D.B.: The utility of a virtual reality locomotion interface for studying gait behavior. Hum. Factors 49, 696–709, 2007)

    Google Scholar 

  23. van den Bogert, A.J., Geijtenbeek, T., Even-Zohar, O., Steenbrink, F., Hardin, E.C.: A real-time system for biomechanical analysis of human movement and muscle function. Med. Biol. Eng. Comput. 51, 1069–1077 (2013)

    Article  Google Scholar 

  24. Walker, M.L., Ringleb, S.I., Maihafer, G.C., Walker, R., Crouch, J.R., Van Lunen, B., Morrison, S.: Virtual reality-enhanced partial body weight-supported treadmill training poststroke: feasibility and effectiveness in 6 subjects. Arch. Phys. Med. Rehabil. 91(1), 115–122 (2010)

    Article  Google Scholar 

  25. Zielińska, T., Trojnacki, M.: Postural stability in symmetrical gaits. Acta Bioeng. Biomech. 11(2), 57–64 (2009)

    Google Scholar 

Download references

Acknowledgement

This work was supported by the Department of Biomechatronic, Faculty of Biomedical Engineering, Silesian University of Technology in Gliwice and by The Jerzy Kukuczka Academy of Physical Education in Katowice, Faculty of Physical Education, Department of Tourism and Health-Related Physical Activity.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Piotr Wodarski .

Editor information

Editors and Affiliations

Ethics declarations

This study was previously approved by the Ethics in Research Committee of the Academy of Physical Education in Katowice (protocol number 11/2015).

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Wodarski, P. et al. (2019). The Analysis of the Influence of Virtual Reality on Parameters of Gait on a Treadmill According to Adjusted and Non-adjusted Pace of the Visual Scenery. In: Pietka, E., Badura, P., Kawa, J., Wieclawek, W. (eds) Information Technology in Biomedicine. ITIB 2019. Advances in Intelligent Systems and Computing, vol 1011. Springer, Cham. https://doi.org/10.1007/978-3-030-23762-2_48

Download citation

Publish with us

Policies and ethics