Prediction of the effect of midsole stiffness and energy return using trajectory optimisation

Nitschke M, Luckfiel T, Schlarb H, Dorschky E, Koelewijn A (2021)

Publication Language: English

Publication Type: Conference contribution, Abstract of lecture

Publication year: 2021

Publisher: Taylor & Francis Online

Series: Proceedings of the Fifteenth Footwear Biomechanics Symposium

Book Volume: 13

Pages Range: 65-66

Conference Proceedings Title: Footwear Science

Event location: Online

URI: https://www.mad.tf.fau.de/files/2023/05/FBS_2021_SoftvsEnergy_Submission_AOM_Declaration.pdf

DOI: 10.1080/19424280.2021.1917684

Abstract

We predict the effect of midsole cushioning stiffness and energy return on running separately using trajectory optimization with randomized musculoskeletal models. To do so, we propose a method to quantify force-deformation behaviour of shoe midsoles without prototyping.

Authors with CRIS profile

Marlies Nitschke Machine Learning and Data Analytics Lab Eva Dorschky Machine Learning and Data Analytics Lab Anne Koelewijn Juniorprofessur für Computational Movement Science (Stiftungsprofessur)

Related research project(s)

Biomechanical Simulation for the Reconstruction and Synthesis of Human Motion (Human Motion) Jan. 1, 2017 - Dec. 31, 2020

Involved external institutions

Adidas AG DE Germany (DE)

How to cite

APA:

Nitschke, M., Luckfiel, T., Schlarb, H., Dorschky, E., & Koelewijn, A. (2021, July). Prediction of the effect of midsole stiffness and energy return using trajectory optimisation. Paper presentation at 15th biennial Footwear Biomechanics Symposium, Online.

MLA:

Nitschke, Marlies, et al. "Prediction of the effect of midsole stiffness and energy return using trajectory optimisation." Presented at 15th biennial Footwear Biomechanics Symposium, Online Taylor & Francis Online, 2021.

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