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Category

Motor control

Document Type

Paper

Abstract

We aim to predict running movements from motor control principles. Specifically, the central nervous system minimizes an objective related to energy efficiency when planning movements. We replicate this minimization in optimal control problems to create running simulations that predict running movements in new situations. Here, we will introduce how we create predictive simulations using optimal control, and we show how we used these to gain insight into the effect of running shoe midsole properties on running movements. We show that we can successfully predict the change in metabolic cost between different shoe conditions, but that our outcomes are limited when balance is important. Furthermore, we show that metabolic cost changed even though the kinematic and kinetic changes were small. Finally, we discuss some future directions of this simulation approach.

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