Upper Limb Motion Analysis During a Virtual Reality Fitness Game

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Acoustics and Vibration of Mechanical Structures—AVMS-2023 (AVMS 2023)

Abstract

Virtual reality (VR) games became more popular everyday due to the realistic and engaging experience of the users. The immersive environment of the game allows players to interact with it using their own body movements and therefore creating a deep feeling of being part of the game. The virtual interactive world creates a very good scenario for homme training, rehabilitation and even sport. In order to quantify the intensity of the exercises, the body kinematics and kinetics during VR game, motion analysis systems can be used to track the body movements and muscle activation. The purpose of this study was to determine the accelerations of the dominant upper limb and the muscle activations during a VR fitness game exercise. The game is focused on the activity of the upper limb and comprises of objects punching, uppercutting, squatting and alternating combination of those. The results are estimating quantitatively the body dynamics required for accomplishing a good score in the game.

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References

  1. A. Rizzo, B. Lange, E. Suma, M. Bolas, Virtual reality and interactive digital game technology: new tools to address obesity and diabetes. J. Diabetes Sci. Technol. 5(2), 256–264 (2011)

    Article  Google Scholar 

  2. S. Ali, X. Wang, P. Li, Y. Jung, L. Bi, J. Kim, Y. Chen, D. Feng, N. Magnenat Thalmann, J. Wang, B. Sheng, A systematic review: virtual-reality-based techniques for human exercises and health improvement. Front. Public Health 11, 1143947, 01–14 (2023)

    Google Scholar 

  3. E. Matar, J.M. Shine, S.L. Naismith, S.J. Lewis, Virtual reality walking and dopamine: opening new doorways to understanding freezing of gait in Parkinson’s disease. J. Neurol. Sci. 344(1–2), 182–185 (2014)

    Article  Google Scholar 

  4. B. Feodoroff, I. Konstantinidis, I. Froböse, Effects of full body exergaming in virtual reality on cardiovascular and muscular parameters: cross-sectional experiment. JMIR Ser. Games 7(3), e-12324 (2019)

    Google Scholar 

  5. N. Zeng, Z. Pope, Z. Gao, Virtual reality exercise for anxiety and depression: a preliminary review of current research in an emerging field. J. Clin. Med. 7(3), 42 (2018)

    Article  Google Scholar 

  6. F.A. Djawas, V.R. Prasasti, R. Pahlawi, M. Noviana, A.D. Pratama, The Effectiveness of virtual reality exercises to reduce fall risk in Parkinson’s disease: a literature review. Proceedings 83, 33 (2022)

    Google Scholar 

  7. B. Brea-Gómez, I. Torres-Sánchez, A. Ortiz-Rubio, A. Calvache-Mateo, I. Cabrera-Martos, L. López-López, M.C. Valenza, Virtual reality in the treatment of adults with chronic low back pain: a systematic review and meta-analysis of randomized clinical trials. Int J. Environ. Res. Public Health 18(22) (2021)

    Google Scholar 

  8. L. Lancere, Technological solutions for low back pain physical therapy real-time monitoring with feedback. Baltic J. Mod. Comput. 9(4), 436–452 (2021)

    Article  Google Scholar 

  9. D.I. Stoia, M. Toth-Tascau, Influence of treadmill velocity on joint angles of lower limbs during human gait, in 2011 E-Health and Bioengineering Conference (EHB) (Iasi, Romania, 2011), pp. 1–4

    Google Scholar 

  10. N.J. Jarque-Bou, A. Scano, M. Atzori et al., Kinematic synergies of hand grasps: a comprehensive study on a large publicly available dataset. J NeuroEngineering Rehabil 16, 63 (2019)

    Article  Google Scholar 

  11. L. Lancere, M. Jürgen, H. Gapeyeva, Mixed reality and sensor real-time feedback to increase muscle engagement during deep core exercising. Virtual Real. (2023)

    Google Scholar 

  12. M. Żuk, M. Wojtków, M. Popek, J. Mazur, K. Bulińska. Three-dimensional gait analysis using a virtual reality tracking system. Measurement 188 (2022)

    Google Scholar 

  13. R. Maskeliūnas, R. Damaševičius, T. Blažauskas, C. Canbulut, A. Adomavičienė, J. Griškevičius, BiomacVR: a virtual reality-based system for precise human posture and motion analysis in rehabilitation exercises using depth sensors. Electronics 12, 339 (2023)

    Article  Google Scholar 

  14. K. Rogers, A. Caravan, J. Scheffey, K. Boddy, Surface electromyographic analysis of the serratus anterior during 1 bench press variations (2019)

    Google Scholar 

  15. K. Lee, S. Kim, H.O. Choi, J. Lee, Y. Nam, Analyzing electrocardiogram signals obtained from a nymi band to detect atrial fibrillation. Multimedia Tools Appl. 79(23), 15985–15999 (2020)

    Article  Google Scholar 

  16. L. Lancere, Technological solutions for low back pain physical therapy real-time monitoring with feedback. Baltic J. Mod. Comput. 9(4), 436–452 (2021)

    Google Scholar 

  17. Internet resource accessed on 05.06.2023. https://milefysiotherapie.nl/meet-en-trainingsapparatuur/physioplux-muscleban/

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Correspondence to Dan Ioan Stoia .

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Stoia, D.I., Galescu-Blidariu, M., Stoia, A., Totorean, A. (2024). Upper Limb Motion Analysis During a Virtual Reality Fitness Game. In: Herisanu, N., Marinca, V. (eds) Acoustics and Vibration of Mechanical Structures—AVMS-2023. AVMS 2023. Springer Proceedings in Physics, vol 302. Springer, Cham. https://doi.org/10.1007/978-3-031-48087-4_16

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