A Metabolic Energy Expenditure Model With A Continuous First Derivative And Its Application To Predictive Simulations Of Gait

Authors

Anne D. Koelewijn, Cleveland State UniversityFollow
Eva Dorschky, Friedrich-Alexander Universität Erlangen-Nürnberg
Antonie J. van den Bogert, Cleveland State UniversityFollow

ORCID ID

van den Bogert, Antonie J/0000-0002-3791-3749

Document Type

Article

Publication Date

2018

Publication Title

Computer Methods In Biomechanics And Biomedical Engineering

Abstract

Whether humans minimize metabolic energy in gait is unknown. Gradient-based optimization could be used to predict gait without using walking data but requires a twice differentiable metabolic energy model. Therefore, the metabolic energy model of Umberger etal. (2003) was adapted to be twice differentiable. Predictive simulations of a reaching task and gait were solved using this continuous model and by minimizing effort. The reaching task simulation showed that energy minimization predicts unrealistic movements when compared to effort minimization. The predictive gait simulations showed that objectives other than metabolic energy are also important in gait.

Recommended Citation

Koelewijn, Anne D.; Dorschky, Eva; and van den Bogert, Antonie J., "A Metabolic Energy Expenditure Model With A Continuous First Derivative And Its Application To Predictive Simulations Of Gait" (2018). Mechanical Engineering Faculty Publications. 349.
https://engagedscholarship.csuohio.edu/enme_facpub/349

DOI

10.1080/10255842.2018.1490954

Volume

21

Issue

8