This paper describes and illustrates two different approaches used to predict population strength capabilities. One approach uses statistical regression models to predict maximum acceptable weight or force capabilities as a function of population attributes (e.g., anthropometry, gender and standardized strength scores). A second approach relies on a biomechanical concept stating that the maximum force one can produce in a given posture and for a given type of exertion is a function of the minimum relative strength produced by one's muscles at a particular joint. This latter approach has resulted in a specific static strength prediction model which has been implemented in software produced by the Center for Ergonomics at the University of Michigan. The software allows the simulation of a large variety of manual exertions. This paper describes the status of the two different approaches and implications and requirements for future human simulation and modeling systems.


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    Title :

    Prediction of Population Strengths


    Additional title:

    Sae Technical Papers


    Contributors:

    Conference:

    Digital Human Modeling For Design And Engineering Conference & Exposition ; 1998



    Publication date :

    1998-04-28




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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