Data-tracking and predictive simulations of sprint running
Tipus de documentText en actes de congrés
Data publicació2020
Condicions d'accésAccés obert
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
The sprint running literature contains recommendations for how athletes should consider modifying their technique, yet, very few studies have documented their affect on performance. We used a musculoskeletal modelling and simulation approach to initially perform a data-tracking simulation to evaluate the outputs against experimental data. A predictive simulation with limited constraints was then performed to assess the influence of technique modications on performance. The data-tracking simulation tracked the experimental data well, particularly the ground reaction forces (largest RMSE = 0.04 BW). The predictive simulation resulted in the model covering 2.79 m in 0.325 s through an increase in step frequency, and this was a time duration improvement of 6.9% in comparison to the athlete’s own performance. In this preliminary work we have managed to track experimental sprint running data, and provided a promising basis to further explore hypothetical modifications in technique.
CitacióHaralabidis, N. [et al.]. Data-tracking and predictive simulations of sprint running. A: Conference of the International Society of Biomechanics in Sports. "Proceedings of the Conference of the International Society of Biomechanics in Sports". 2020, p. 1-4.
Altres identificadorshttps://commons.nmu.edu/isbs/vol38/iss1/200/
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DATA-TRACKING A ... IONS OF SPRINT RUNNING.pdf | 206,9Kb | Visualitza/Obre |
Fitxers | Descripció | Mida | Format | Visualitza |
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DATA-TRACKING A ... IONS OF SPRINT RUNNING.pdf | 206,9Kb | Visualitza/Obre |