Strength Mapping Algorithm (SMA) for Biomechanical Human Modelling using Empirical Population Data
Miehling J, Wartzack S (2015)
Publication Language: English
Publication Type: Conference contribution, Conference Contribution
Publication year: 2015
Pages Range: 115-124
Conference Proceedings Title: Proceedings of the 20th International Conference on Engineering Design (ICED15), Vol. 10: Design Information and Knowledge Management
Event location: Mailand
ISBN: 987-1-904670-75-9
URI: https://www.mfk.uni-erlangen.de?file=pubmfk_5640bd85ae089
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.
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How to cite
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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