Strength Mapping Algorithm (SMA) for Biomechanical Human Modelling using Empirical Population Data

Beitrag bei einer Tagung
(Konferenzbeitrag)


Details zur Publikation

Autor(en): Miehling J, Wartzack S
Herausgeber: Weber C, Husung S, Cantamessa M, Cascini G, Marjanovic D, Bordegoni M, Graziosi S, Montagna F, Rotini F, Venkataraman S
Jahr der Veröffentlichung: 2015
Tagungsband: Proceedings of the 20th International Conference on Engineering Design (ICED15), Vol. 10: Design Information and Knowledge Management
Seitenbereich: 115-124
ISBN: 987-1-904670-75-9
Sprache: Englisch


Abstract


Despite the increasing level of detail in biomechanical simulation, human models are not yet valid to represent specific individuals or populations. Therefore, the generic models need adaptation to depict the varying competencies of the respective person or user group aimed to investigate. There have been achievements in scaling single modelling domains (e.g. anthropometry). However, a comprehensive approach is still lacking. This paper extends available methods by introducing a Strength Mapping Algorithm (SMA) for the adaption of individual maximum isometric forces to match empirical strength data. This procedure involves static optimization simulation of predefined body postures to reveal the dependencies between muscle forces and joint torques of a generic model specifying the skeletal and muscular geometry. Based on this information, we determine a set of muscle scaling factors for a given age, gender and strength percentile. As a result, the SMA enables the quick generation of a large number of individuals in order to implement a design for populations paradigm. This leads one step closer to gain deeper insight on how health relevant products and processes are to be developed.



FAU-Autoren / FAU-Herausgeber

Miehling, Jörg
Lehrstuhl für Konstruktionstechnik
Wartzack, Sandro Prof. Dr.-Ing.
Lehrstuhl für Konstruktionstechnik


Zitierweisen

APA:
Miehling, J., & Wartzack, S. (2015). Strength Mapping Algorithm (SMA) for Biomechanical Human Modelling using Empirical Population Data. In Weber C, Husung S, Cantamessa M, Cascini G, Marjanovic D, Bordegoni M, Graziosi S, Montagna F, Rotini F, Venkataraman S (Eds.), Proceedings of the 20th International Conference on Engineering Design (ICED15), Vol. 10: Design Information and Knowledge Management (pp. 115-124). Mailand, IT.

MLA:
Miehling, Jörg, and Sandro Wartzack. "Strength Mapping Algorithm (SMA) for Biomechanical Human Modelling using Empirical Population Data." Proceedings of the 20th International Conference on Engineering Design (ICED15), Mailand Ed. Weber C, Husung S, Cantamessa M, Cascini G, Marjanovic D, Bordegoni M, Graziosi S, Montagna F, Rotini F, Venkataraman S, 2015. 115-124.

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Zuletzt aktualisiert 2018-07-08 um 00:26