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A mathematical model for the computational determination of parameter values of anthropomorphic segmentsby: H. Hatze
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Notes for this articleMostly concerns inertia and mass values of limb segments. Figure shows breakdown of different body segments
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AbstractA model is presented for determining by computation the parameter values of anthropomorphic segments from a battery of 242 anthropometric measurements taken directly from the subject. The model consists of 17 segments, includes the shoulders as separate entities, and offers the following advantages over previous models: it subdivides segments into small mass elements of different geometrical structures, thus allowing the shape and density fluctuations of a segment to be modelled in detail; in general, no assumptions are made on segmental symmetry, and principal axes transformations are performed whenever necessary; the model differentiates between male and female subjects (exomorphic differences, different density functions and mass distributions), adjusts the densities of certain segmental parts according to the value of a special subcutaneous-fat indicator, and fully accounts for the specificities of pregnancy and obesity; the input data errors are drastically reduced by performing direct anthropometric measurements rather than indirect measurements from photo images; the overall accuracy of the model is better than 3% with a maximum error of about 5%. The features listed above are confirmed by comparing experimentally determined parameter values (volumes, masses, coordinates of mass centroids, principal moments of inertia, coordinates of segmental origins) with model predictions for four different subjects. The execution time of the computer program executing the model is 0.515 seconds on a CDC Cyber 174 digital computer. A sample print-out is listed in the Appendix.
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