Author Archives: chris

Predicting 5th and 95th percentile anthropometric segment lengths from population stature

Designing for human variability frequently necessitates an estimation of the spatial requirements of the intended user population. These measures are often obtained from “proportionality constants” which predict the lengths of relevant anthropometry using stature. This approach is attractive because it is readily adapted to new populations–only knowledge of a single input, stature, is necessary to obtain the estimates. The most

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Extrapolation of anthopometric measures to new populations

While the methodology proposed in this paper is not a replacement for gathering true anthropometric data from populations of interest, it is a useful tool for estimating larger sets of anthropometry when only a few measures (such as stature and BMI) are available.

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