We have developed a set of tools based on the OpenSim simulation framework that allows for input of anthropometry, muscle geometry, and measured strength capability to generate demographically tuned models from a core generic musculoskeletal model. The strength tuning capability exploits an algorithm that adaptively tunes muscle parameters in generic Hill-type muscle models to generate performance data consistent with ergonomic subject studies of specific demographic populations (e.g. elderly populations). Following the tuning of the generic model to generate a demographic-specific model, human performance in a variety of scenarios can then be analyzed. Currently, the model is in a prototype phase and has been applied to scenarios modeling elderly passengers interacting with airplane interior features including overhead bins and lavatories. The next phase of development will include manufacturing scenarios with input based on motion capture and worker demographics, including strength measurements.


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    Titel :

    Human Factors Simulation Using Demographically Tuned Biomechanical Models


    Beteiligte:
    De Sapio, Vincent (Autor:in) / Earl, Darren (Autor:in) / Green, Rush (Autor:in) / Saul, Katherine (Autor:in)


    Erscheinungsdatum :

    2014


    Format / Umfang :

    5 Seiten, 12 Quellen




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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