Modelling / Simulation
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.
Haralabidis, Nicos; Serrancolí, Gil; Colyer, Steffi; Bezodis, Ian; Salo, Aki; and Cazzola, Dario
"DATA-TRACKING AND PREDICTIVE SIMULATIONS OF SPRINT RUNNING,"
ISBS Proceedings Archive: Vol. 38
, Article 200.
Available at: https://commons.nmu.edu/isbs/vol38/iss1/200