A BIOMECHNICAL STUDY ON CRITERIA FOR OPTIMIZATI0N OF HUMAN MOVEMENTS

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The selection of appropriate optimization criteria, i.e.objective functions, has been discussed over a long period in the literature. In a lot of researches, the sum of cubed active states of muscle models (activations) of all muscle models was minimized for estimating muscle force. However, it was inferred that the sum of the cubed activations is not always the best criterion. The sum of squared activations was the best for slow-walk speed, the sum of cubed muscle forces for slow-jog speed, and the sum of 4^<th>-powered activations for fast-jog speed. Similar results were obtained for vertical jump, standing long jump, and landing motions. It is considered that the human locomotion is not controlled by a single criterion, but by various criteria according to the locomotion speeds and subjective efforts.