580
Views
1
CrossRef citations to date
0
Altmetric
BIOMECHANICS AND MOTOR CONTROL

A hybrid framework to predict ski jumping forces by combining data-driven pose estimation and model-based force calculation

, , , & ORCID Icon
Pages 221-230 | Received 07 Sep 2021, Accepted 06 Jan 2022, Published online: 14 Feb 2022

References

  • Alexander, R. M. (1990). Optimum take-off techniques for high and long jumps. Philosophical Transactions of the Royal Society of London B Biological Sciences, 329(1252).
  • Alves, J. V. M., Rebelo, A. N., Abrantes, C., & Sampaio, J. (2010). Short-term effects of complex and contrast training in soccer players’ vertical jump, sprint, and agility abilities. Journal of Strength and Conditioning Research, 24(4), 936–941.
  • Anderson, F. C., & Pandy, M. G. (1999). A dynamic optimization solution for vertical jumping in three dimensions. Computer Methods in Biomechanics and Biomedical Engineering, 2(3), 201–231.
  • Blajer, W., Dziewiecki, K., & Mazur, Z. (2007). Multibody modeling of human body for the inverse dynamics analysis of sagittal plane movements. Multibody System Dynamics, 18(2), 217–232.
  • Boor, C. d. (2001). A practical guide to splines. Revised edition. (Vol. 115, p. 207–223). New York: Springer-Verlag.
  • Cao, Z., Simon, T., Wei, S. E., & Sheikh, Y. (2017, July 21–26). Realtime multi-person 2D pose estimation using part affinity fields. In: Proceedings – 30th IEEE conference on computer vision and pattern recognition, CVPR 2017 (p. 7291–9). Honolulu, HI: Hawaii Convention Center.
  • Channell, B. T., & Barfield, J. P. (2008). Effect of Olympic and traditional resistance training on vertical jump improvement in high school boys. Journal of Strength and Conditioning Research, 22(5), 1522–1527.
  • Cheng, B., Xiao, B., Wang, J., Shi, H., Huang, T. S., & Zhang, L. (2020, June 16–28). Higherhrnet: Scale-aware representation learning for bottom-up human pose estimation. In Proceedings of the IEEE Computer Society conference on computer vision and pattern recognition. (p. 5386–95). Seattle, WA (USA).
  • Cheng, K. B., & Hubbard, M. (2005a). Optimal compliant-surface jumping: A multi-segment model of springboard standing jumps. Journal of Biomechanics, 38(9), 1822–1829.
  • Cheng, K.-Y. B., & Chen, W.-C. (2005b). Optimal standing long jump simulation from different starting postures. Journal of Mechanics in Medicine and Biology, 05(02), 1822–1829.
  • Contini R. (1972). Body segment parameters. II. Artificial Limbs, 16(1), 1–19.
  • Davoudabadi Farahani, S., Andersen, M. S., de Zee, M., & Rasmussen, J. (2016). Optimization-based dynamic prediction of kinematic and kinetic patterns for a human vertical jump from a squatting position. Multibody System Dynamics, 36(1), 37–65.
  • De Leva, P. (1996). Adjustments to Zatsiorsky-Seluyanov’s segment inertia parameters. Journal of Biomechanics, 29(9), 1223–1230.
  • Dziewiecki, K., Blajer, W., Mazur, Z., & Czaplicki, A. (2014). Modeling and computational issues in the inverse dynamics simulation of triple jump. Multibody System Dynamics, 32(3), 299–316.
  • Fatouros, I. G., Jamurtas, A. Z., Leontsini, D., Taxildaris, K., Aggelousis, N., Kostopoulos, N., Buckenmeyer, P., (2000). Evaluation of plyometric exercise training, weight training, and their combination on vertical jumping performance and leg strength. Journal of Strength and Conditioning Research, 14(4), 470–476.
  • Gehri, D. J., Ricard, M. D., Kleiner, D. M., & Kirkendall, D. T. (1998). A comparison of plyometric training techniques for improving vertical jump ability and energy production. Journal of Strength and Conditioning Research, 12(2), 85–89.
  • Kaps, P., Schwameder, H., Engstler, C. (1997). Inverse dynamic analysis of take-off in ski-jumping. In E. Müller, H. Schwameder, & E. Kornexl (Eds.), Science and skiing (pp. 72–87). London: E&FN Spon (Chapman & Hall).
  • Kingma, D. P., & Ba, J. L. (2014). Adam: A method for stochastic optimization. arXiv. Retrieved from: https://arXiv.org/abs/1412.6980.
  • Kipf, T. N., & Welling, M. (2017, April 24–26). Semi-supervised classification with graph convolutional networks. In 5th International conference on learning representations, ICLR 2017 – Conference Track Proceedings (p. 1–14). Toulon (France): Palais des Congrès Neptune.
  • Law, H., & Deng, J. (2020). Cornernet: Detecting objects as paired keypoints. International Journal of Computer Vision, 128(3), 734–750.
  • Levine, W. S., Belzer, M. R., Zajac, F. E., & Zomlefer, M. R. (1983). Ankle controls that produce a maximal vertical jump when other joints are locked. Ieee Transactions. on Automatic Control, 28(11), 1008–1016.
  • Luebbers, P. E., Potteiger, J. A., Hulver, M. W., Thyfault, J. P., Carper, M. J., & Lockwood, R. H. (2003). Effects of plyometric training and recovery on vertical jump performance and anaerobic power. Journal of Strength and Conditioning Research, 17(4), 704–709.
  • Maffiuletti, N. A., Dugnani, S., Folz, M., Di Pierno, E., & Mauro, F. (2002). Effect of combined electrostimulation and plyometric training on vertical jump height. Medicine & Science in Sports & Exercise, 34(10), 1638–1644.
  • Marghitu, D. B. (2009). Mechanisms and robots analysis with MATLAB® (pp. 183–204). London: Springer.
  • Martel, G. F., Harmer, M. L., Logan, J. M., & Parker, C. B. (2005). Aquatic plyometric training increases vertical jump in female volleyball players. Medicine & Science in Sports & Exercise, 37(10), 1814–1819.
  • Misra, D. (2019). Mish: A self regularized non-monotonic neural activation function. arXiv. Retrieved from: https://arXiv.org/abs/1908.08681.
  • Nachbauer, W., Kaps, P., Nigg, B., Brunner, F., Lutz, A., Obkircher, G.…Mössner, M., (1996). A video technique for obtaining 3-D coordinates in alpine skiing. Journal of Applied Biomechanics, 12(1), 104–115.
  • Nagano, A., Komura, T., & Fukashiro, S. (2007). Optimal coordination of maximal-effort horizontal and vertical jump motions - a computer simulation study. Biomedical Engineering Online, 6(20), 20–28.
  • Newell, A., Yang, K., & Deng, J. (2016, October 8–16). Stacked hourglass networks for human pose estimation. In Proceedings of the European conference on computer vision (p. 483–99). Amsterdam (Netherlands): University of Amsterdam.
  • Newton, R. U., Kraemer, W. J., & Häkkinen, K. (1999). Effects of ballistic training on preseason preparation of elite volleyball players. Medicine & Science in Sports & Exercise, 31(2), 323–330.
  • Pandy, M. G., Anderson, F. C., & Hull, D. G. (1992). A parameter optimization approach for the optimal control of large-scale musculoskeletal systems. Journal of Biomechanical Engineering, 114(4), 450–460.
  • Pandy, M. G., Zajac, F. E., Sim, E., & Levine, W. S. (1990). An optimal control model for maximum-height human jumping. Journal of Biomechanics, 23(12), 1185–1198.
  • Ryu, S., Lim, J., & Kim, W. Y. 2018. Deeply learning molecular structure-property relationships using graph attention neural network. arXiv. Retrieved from: https://arxiv.org/abs/1805.10988.
  • Schwameder, H., Kroll, J., Lindorfer, J., & Fritz, J. (2019). Estimation of ground reaction forces from kinematics in ski-jumping imitation jumps. In: 37th International Society of Biomechanics in Sport Conference (p. 308–11).
  • Seyfarth, A., Blickhan, R., & Van Leeuwen, J. L. (2000). Optimum take-off techniques and muscle design for long jump. Journal of Experimental Biology, 203(4), 741–750.
  • Spägele, T., Kistner, A., & Gollhofer, A. (1999). Modelling, simulation and optimisation of a human vertical jump. Journal of Biomechanics, 32(5), 521–530.
  • Sun, K., Xiao, B., Liu, D., & Wang, J. (2019, June 16–20). Deep high-resolution representation learning for human pose estimation. In Proceedings of the IEEE computer society conference on computer vision and pattern recognition (p. 5693–703). Long Beach CA (USA).
  • Tricoli, V., Lamas, L., Carnevale, R., & Ugrinowitsch, C. (2005). Short-term effects on lower-body functional power development: Weightlifting vs. Vertical jump training programs. Journal of Strength and Conditioning Research, 19(2), 433–437.
  • van Soest, A. J., Schwab, A. L., Bobbert, M. F., & van Ingen Schenau, G. J. (1993). The influence of the biarticularity of the gastrocnemius muscle on vertical-jumping achievement. Journal of Biomechanics, 26(1), 1–8.
  • Wang, J., Sun, K., Cheng, T., Jiang, B., Deng, C., Zhao, Y., et al. (2020). Deep high-resolution representation learning for visual recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(10), 1–1.
  • Wei, S. E., Ramakrishna, V., Kanade, T., & Sheikh, Y. (2016, June 27–30). Convolutional pose machines. In Proceedings of the IEEE computer society conference on computer vision and pattern recognition (p. 4724–32). Las Vegas (NV).
  • Wilson, G. J., Newton, R. U., Murphy, A. J., & Humphries, B. J. (1993). The optimal training load for the development of dynamic athletic performance. Medicine & Science in Sports & Exercise, 25(11), 1279–1286.
  • Zajac, F. E., Wicke, R. W., & Levine, W. S. (1984). Dependence of jumping performance on muscle properties when humans use only calf muscles for propulsion. Journal of Biomechanics, 17(7), 513–523.
  • Zecha, D., Eggert, C., Einfalt, M., Brehm, S., & Lienhart, R. (2018, October 26). A convolutional sequence to sequence model for multimodal dynamics prediction in ski jumps. In: MMSports 2018 – Proceedings of the 1st international workshop on multimedia content analysis in sports, co-located with MM 2018 (p. 11–19). Seoul: Seoul National University.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.