A contact model to simulate human–artifact interaction based on force optimization: implementation and application to the analysis of a training machine. Issue 15 (18th November 2017)

• Record Type: Journal Article
• Authors: Krüger, Daniel; Wartzack, Sandro
• Is Part Of: Computer methods in biomechanics and biomedical engineering. Volume 20:Issue 15(2017)
• Page Start: 1589
• Page End: 1598
• Publication Date: 2017-11-18
• Subjects: Musculoskeletal simulation -- contact modeling -- optimization -- device design; Biomechanics -- Data processing -- Periodicals; Biomedical engineering -- Periodicals; Biomechanics -- Periodicals; Biomedical Engineering -- methods -- Periodicals; Computing Methodologies -- Periodicals; 612.7
• DOI: 10.1080/10255842.2017.1393804
• Languages: English
• ISSNs: 1025-5842

Abstract

Abstract: Musculoskeletal multibody models are increasingly used to analyze and optimize physical interactions between humans and technical artifacts. Since interaction is conveyed by contact between the human body and the artifact, a computationally robust modeling approach for frictional contact forces is a crucial aspect. In this contribution, we propose a parametric contact model and formulate an associated force optimization problem to simultaneously estimate unknown muscle and contact forces in an inverse dynamic manner from a prescribed motion trajectory. Unlike existing work, we consider both the static and the kinetic regime of Coulomb's friction law. The approach is applied to the analysis of a leg extension training machine with the objective to reduce the stress on the tibiofemoral joint. The uncertainty of the simulation results due to a tunable parameter of the contact model is of particular interest.