Turning a corner in predictive musculoskeletal simulations of gait using implicit dynamics

Conference contribution
(Abstract of a poster)


Publication Details

Author(s): Nitschke M, Dorschky E, Schlarb H, Eskofier B, van den Bogert AJ, Koelewijn A
Publication year: 2019
Conference Proceedings Title: 14th Annual Dynamic Walking Conference 2019
Language: English


Abstract

Recently, 3D gait simulations were generated by solving optimal control problems using musculoskeletal models. However, these simulations lack predictive power and require long computation time. We formulated implicit dynamics for a full-body 3D musculoskeletal model to solve optimal control problems in a computationally efficient way. We show that with the implicit formulation a full-body predictive simulation of
curved running can be generated from a random initial guess in about two hours.


FAU Authors / FAU Editors

Dorschky, Eva
Lehrstuhl für Informatik 14 (Maschinelles Lernen und Datenanalytik)
Eskofier, Björn Prof. Dr.
Lehrstuhl für Informatik 14 (Maschinelles Lernen und Datenanalytik)
Koelewijn, Anne Prof. Dr.
Juniorprofessur für Informatik (Stiftungsprofessur)
Nitschke, Marlies
Lehrstuhl für Informatik 14 (Maschinelles Lernen und Datenanalytik)


External institutions with authors

Adidas AG
Cleveland State University


How to cite

APA:
Nitschke, M., Dorschky, E., Schlarb, H., Eskofier, B., van den Bogert, A.J., & Koelewijn, A. (2019). Turning a corner in predictive musculoskeletal simulations of gait using implicit dynamics. Poster presentation at Dynamic Walking 2019, Canmore, Alberta, CA.

MLA:
Nitschke, Marlies, et al. "Turning a corner in predictive musculoskeletal simulations of gait using implicit dynamics." Presented at Dynamic Walking 2019, Canmore, Alberta 2019.

BibTeX: 

Last updated on 2019-09-08 at 14:08