Modeling Running via Optimal Control for Shoe Design
Name
bio_146_04_041004.pdf
Description
Published version
Size
1.05 MB
Format
Adobe PDF
Checksum (MD5)
678bc98288ae55573c890ca985aedf0d
Author(s) •
Fay, Sarah C
Hosoi, AE
Date Issued
February 9, 2024
Journal
Journal of Biomechanical Engineering
Publisher
ASME International
Citation
Fay, S. C., and Hosoi, A. E. (February 9, 2024). "Modeling Running via Optimal Control for Shoe Design." ASME. J Biomech Eng. April 2024; 146(4): 041004.
Version
Final published version
Abstract
Shoe manufacturing technology is advancing faster than new shoe designs can viably be evaluated in human subject trials. To aid in the design process, this paper presents a model for estimating how new shoe properties will affect runner performance. This model assumes runners choose their gaits to optimize an intrinsic, unknown objective function. To learn this objective function, a simple two-dimensional mechanical model of runners was used to predict their gaits under different objectives, and the resulting gaits were compared to data from real running trials. The most realistic model gaits, i.e., the ones that best matched the data, were obtained when the model runners minimized the impulse they experience from the ground as well as the mechanical work done by their leg muscles. Using this objective function, the gait and thus performance of running under different shoe conditions can be predicted. The simple model is sufficiently sensitive to predict the difference in performance of shoes with disruptive designs but cannot distinguish between existing shoes whose properties are fairly similar. This model therefore is a viable tool for coarse-grain exploration of the design space and identifying promising behaviors of truly novel shoe materials and designs.
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1115/1.4064405