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A review of forward-dynamics simulation models for predicting optimal technique in maximal effort sporting movements
journal contribution
posted on 2021-05-20, 09:17 authored by Stuart A McErlain-Naylor, Mark KingMark King, Paul J FeltonThe 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.
History
School
- Sport, Exercise and Health Sciences
Published in
Applied SciencesVolume
11Issue
4Publisher
MDPI AGVersion
- VoR (Version of Record)
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© The authorsPublisher statement
This is an Open Access Article. It is published by MDPI under the Creative Commons Attribution 4.0 Unported Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/Acceptance date
2021-02-02Publication date
2021-02-05Copyright date
2021eISSN
2076-3417Publisher version
Language
- en
Depositor
Prof Mark King. Deposit date: 20 May 2021Article number
1450Usage metrics
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No categories selectedKeywords
torque-drivenoptimizationparametersevaluationdynamical systems theoryconstraintsself-organizationperformanceindividualcomplexityScience & TechnologyPhysical SciencesTechnologyChemistry, MultidisciplinaryEngineering, MultidisciplinaryMaterials Science, MultidisciplinaryPhysics, AppliedChemistryEngineeringMaterials SciencePhysics
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