期刊
COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING
卷 21, 期 8, 页码 521-531出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/10255842.2018.1490954
关键词
Metabolic energy; minimization; predictive simulation; gait
资金
- National Science Foundation [1344954]
- Parker-Hannifin Corporation and Division of Information and Intelligent Systems
- Direct For Computer & Info Scie & Enginr
- Div Of Information & Intelligent Systems [1344954] Funding Source: National Science Foundation
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.
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