A Biomechanical Model for the Upper Extremity using Optimization Techniques

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Abstract
A biomechanical model for predicting paths of motion and the associated motion characteristics for the arm articulation joints is presented. The underlying principle of the model is that the average individual follows an optimizing criterion in performing his tasks. A detailed description of the model assumptions, mechanics, and formulation is presented for three-dimensional motions. Three approaches are presented for solving the model: (1) suboptimization (linear and geometric programming); (2) dynamic programming; and (3) simulation. The accuracy and the adequacy of the model in predicting human motion under planar conditions were tested and evaluated. Future perspectives and limitations of modeling human motion are outlined and discussed.

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