In the design and improvement of medical equipment and consumer products, it is often important to be able to make predictions of anthropometric measurements of the human frame in order to size devices for optimum use. Properly sized equipment and products are easier to use, have far more functional utility and present improved market opportunities. The prediction process for anthropometric size is especially difficult when the human frame is that of a child, since for this segment of the human population, the size varies greatly with time. The most frequently used independent variable used in the prediction of frame size for children is the chronological age in years. It is the purpose of this paper to discuss the most often used prediction formulas for human growth and to present a new formulation for anthropometric size made possible by the use of an optimization algorithm using the digital computer. It is believed that this is the first time this particular formulation has been presented.

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