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Analytical and multibody modeling for the power analysis of standing jumps

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  • G. Palmieri
  • M. Callegari
  • S. Fioretti

Abstract

Two methods for the power analysis of standing jumps are proposed and compared in this article. The first method is based on a simple analytical formulation which requires as input the coordinates of the center of gravity in three specified instants of the jump. The second method is based on a multibody model that simulates the jumps processing the data obtained by a three-dimensional (3D) motion capture system and the dynamometric measurements obtained by the force platforms. The multibody model is developed with OpenSim, an open-source software which provides tools for the kinematic and dynamic analyses of 3D human body models. The study is focused on two of the typical tests used to evaluate the muscular activity of lower limbs, which are the counter movement jump and the standing long jump. The comparison between the results obtained by the two methods confirms that the proposed analytical formulation is correct and represents a simple tool suitable for a preliminary analysis of total mechanical work and the mean power exerted in standing jumps.

Suggested Citation

  • G. Palmieri & M. Callegari & S. Fioretti, 2015. "Analytical and multibody modeling for the power analysis of standing jumps," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 18(14), pages 1564-1573, October.
    • Handle: RePEc:taf:gcmbxx:v:18:y:2015:i:14:p:1564-1573
    DOI: 10.1080/10255842.2014.930135
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    References listed on IDEAS

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    1. Mohammad Abdoli-Eramaki & Joan M. Stevenson & Michael J. Agnew & Amin Kamalzadeh, 2009. "Comparison of 3D dynamic virtual model to link segment model for estimation of net L4/L5 reaction moments during lifting," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 12(2), pages 227-237.
    2. M.A. Choukou & G. Laffaye & R. Taiar, 2013. "Validity of an accelerometric system for measuring force–time-based data during jumping tasks," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 16(S1), pages 84-85, July.
    3. Boris Jidovtseff & John Cronin & Nigel Harris & Jacques Quievre, 2010. "Mechanical comparison of eight vertical jump exercises," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 13(S1), pages 77-78.
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    1. Giacomo Palmieri & Monica Tiboni & Giovanni Legnani, 2020. "Analysis of the Upper Limitation of the Most Convenient Cadence Range in Cycling Using an Equivalent Moment Based Cost Function," Mathematics, MDPI, vol. 8(11), pages 1-16, November.

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