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Review

A Review of Forward-Dynamics Simulation Models for Predicting Optimal Technique in Maximal Effort Sporting Movements

1
School of Health and Sports Sciences, University of Suffolk, Ipswich IP4 1QJ, UK
2
School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough LE11 3TU, UK
3
School of Science and Technology, Nottingham Trent University, Nottingham NG11 8NS, UK
*
Author to whom correspondence should be addressed.
Academic Editor: Redha TAIAR
Appl. Sci. 2021, 11(4), 1450; https://doi.org/10.3390/app11041450
Received: 23 December 2020 / Revised: 2 February 2021 / Accepted: 2 February 2021 / Published: 5 February 2021
(This article belongs to the Special Issue Computer Simulation Modelling in Sport)
The identification of optimum technique for maximal effort sporting tasks is one of the greatest challenges within sports biomechanics. A theoretical approach using forward-dynamics simulation allows individual parameters to be systematically perturbed independently of potentially confounding variables. Each study typically follows a four-stage process of model construction, parameter determination, model evaluation, and model optimization. This review critically evaluates forward-dynamics simulation models of maximal effort sporting movements using a dynamical systems theory framework. Organismic, environmental, and task constraints applied within such models are critically evaluated, and recommendations are made regarding future directions and best practices. The incorporation of self-organizational processes representing movement variability and “intrinsic dynamics” remains limited. In the future, forward-dynamics simulation models predicting individual-specific optimal techniques of sporting movements may be used as indicative rather than prescriptive tools within a coaching framework to aid applied practice and understanding, although researchers and practitioners should continue to consider concerns resulting from dynamical systems theory regarding the complexity of models and particularly regarding self-organization processes. View Full-Text
Keywords: torque-driven; optimization; parameters; evaluation; dynamical systems theory; constraints; self-organization; performance; individual; complexity torque-driven; optimization; parameters; evaluation; dynamical systems theory; constraints; self-organization; performance; individual; complexity
MDPI and ACS Style

McErlain-Naylor, S.A.; King, M.A.; Felton, P.J. A Review of Forward-Dynamics Simulation Models for Predicting Optimal Technique in Maximal Effort Sporting Movements. Appl. Sci. 2021, 11, 1450. https://doi.org/10.3390/app11041450

AMA Style

McErlain-Naylor SA, King MA, Felton PJ. A Review of Forward-Dynamics Simulation Models for Predicting Optimal Technique in Maximal Effort Sporting Movements. Applied Sciences. 2021; 11(4):1450. https://doi.org/10.3390/app11041450

Chicago/Turabian Style

McErlain-Naylor, Stuart A., Mark A. King, and Paul J. Felton. 2021. "A Review of Forward-Dynamics Simulation Models for Predicting Optimal Technique in Maximal Effort Sporting Movements" Applied Sciences 11, no. 4: 1450. https://doi.org/10.3390/app11041450

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