Evaluating the Accuracy of Virtual Reality in Replicating Real-Life Human Postures and Forces for Injury Risk Assessment.

Xiaoxu Ji, Xin Gao, Ethan Swierski
Author Information
  1. Xiaoxu Ji: Biomedical Engineering, Gannon University, Erie, PA 16541, USA.
  2. Xin Gao: Electrical Engineering, Gannon University, Erie, PA 16541, USA.
  3. Ethan Swierski: Biomedical Engineering, Gannon University, Erie, PA 16541, USA.

Abstract

The objective of this study was to assess the accuracy of virtual reality (VR) technology in replicating real-life environments for the adoption of appropriate human postures and forces. Despite the widespread implementation of VR in various applications, there is a lack of research evaluating the accuracy of human postures and sensory aspects in the VR environment compared to real-life scenarios. A total of twenty-two student participants were recruited for this study, which involved a common lifting task. Two specific poses were identified as having potentially excessive forces exerted on the lower back. By comparing the angles of seven anatomical joints in both the real environment and the VR environment at each pose, we observed that depth perception may influence posture adoption in the VR setting. Moreover, the presence of a physical load applied to both hands significantly influenced the postures adopted by participants compared to those in the VR environment. These deviations in postures directly led to significant differences in predicted spinal forces exerted on the lower back, which in turn could result in inaccurate assessments of injury risks and the design of injury prevention programs. Therefore, it is crucial to understand the accuracy of VR technology as a substitute for real-life environments.

Keywords

References

  1. J Exerc Rehabil. 2013 Oct 31;9(5):489-94 [PMID: 24282810]
  2. Ergonomics. 2005 Apr 15;48(5):478-91 [PMID: 16040521]
  3. Front Robot AI. 2020 Jan 31;7:4 [PMID: 33501173]
  4. Brain Res Brain Res Rev. 1998 Nov;28(1-2):118-35 [PMID: 9795180]
  5. Ergonomics. 1993 Jul;36(7):749-76 [PMID: 8339717]
  6. PLoS One. 2010 May 12;5(5):e10564 [PMID: 20485681]
  7. Clin Biomech (Bristol). 2012 Dec;27(10):973-8 [PMID: 22967740]
  8. PLoS One. 2020 Oct 29;15(10):e0241479 [PMID: 33119679]
  9. J Biomech. 2006;39(6):981-9 [PMID: 16549091]
  10. J Mot Behav. 2012;44(6):435-44 [PMID: 23237466]
  11. Sci Rep. 2021 May 6;11(1):9662 [PMID: 33958666]
  12. Ergonomics. 2019 Feb;62(2):330-341 [PMID: 30604652]
  13. Conf Proc IEEE Eng Med Biol Soc. 2006;2006:2694-7 [PMID: 17946975]
  14. Med Eng Phys. 2013 Jul;35(7):969-77 [PMID: 23040051]
  15. Ergonomics. 2006 Nov 15;49(14):1527-37 [PMID: 17050392]
  16. Diabetes Metab Syndr. 2020 Jul - Aug;14(4):661-664 [PMID: 32438329]
  17. Sensors (Basel). 2023 Mar 03;23(5): [PMID: 36904986]
  18. Appl Ergon. 1999 Feb;30(1):69-78 [PMID: 10098818]
  19. J Hand Surg Am. 2023 May;48(5):499-505 [PMID: 36764847]

MeSH Term

Humans
Posture
Virtual Reality
Male
Female
Young Adult
Risk Assessment
Adult
Biomechanical Phenomena
User-Computer Interface

Word Cloud

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