Statistical-mathematical processing of anthropometric foot parameters and establishing simple and multiple correlations. Part 2: correlations among anthropometric parameters of the foot
Journal: Revista de Pielarie Incaltaminte / Leather and Footwear Journal (Vol.18, No. 1)Publication Date: 2018-03-29
Authors : Mirela PANTAZI Ana Maria VASILESCU Aura MIHAI Dana GURĂU;
Page : 25-32
Keywords : anthropometric parameters; foot; correlation;
Abstract
Footwear manufacturing based on suitable lasts and appropriate sizes is possible, using the results obtained from anthropometric measurements. The construction of the last, the establishment of dimensions required to meet the comfort requirements of a larger proportion of consumers, must be based on the knowledge and the most accurate characterization of the anatomical-morphological differences of the types of foot encountered within that population of consumers as well as the frequency of these types within the population. For this purpose, it is periodically necessary to perform anthropometric studies on the population differentiated according to certain criteria (gender, age, geographical region, etc.) in order to obtain information about the dimensional particularities of the average representative foot for that population, the anthropometric parameters distribution laws that characterize the representative average foot of the country's population in terms of size. In order to define the characteristic dimensions of the foot, one- and two-dimensional distributions of anthropometric parameters were used as well as a series of correlations that model the interdependence among the various parameters, with direct applicability in designing the last. Linear regression equations can be used in last design to determine the dependences between the geometric parameters of the last in close connection with the laws of variation of the anthropometric parameters of the foot. Multiple linear correlations have been established demonstrating that there are very high correlations between certain variables.
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Last modified: 2018-04-03 19:52:35