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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Bauby, C.E., Kuo, A.D.: Active control of lateral balance in human walking. J. Biomech. 33, 1433–40 (2000)
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
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)
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)
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)
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)
Hof, A.L., Gazendam, M.G., Sinke, W.E.: The condition for dynamic stability. J. Biomech. 38(1), 1–8 (2005)
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)
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)
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)
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)
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)
Maki, B.E.: Gait changes in older adults: predictors of falls or indicators of fear. J. Am. Geriatr. Soc. 45, 313–20 (1997)
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)
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)
Menz, H.B., Lord, S.R., Fitzpatrick, R.C.: Age-related differences in walking stability. Age Ageing 32, 137–42 (2003)
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)
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)
Pai, Y.C., Patton, J.: Center of mass velocity-position predictions for balance control. J. Biomech. 30(4), 347–354 (1997)
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)
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)
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)
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)
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)
Zielińska, T., Trojnacki, M.: Postural stability in symmetrical gaits. Acta Bioeng. Biomech. 11(2), 57–64 (2009)
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
Corresponding author
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
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
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
DOI: https://doi.org/10.1007/978-3-030-23762-2_48
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-23761-5
Online ISBN: 978-3-030-23762-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)