체형맞춤형 야구복 패턴 자동화를 위한 체형 변형룰 개발

Abstract

In the apparel industry, custom-made production, which had been neglected due to remarkably lower efficiency of production than that of mass production, has become increasingly practical by virtue of combination with new high-tech automation technology and IT technology in recent years. In this context, the present study was attempted to develop a body shape alteration rules and an algorithm of pattern alteration in order to realize the automation of baseball uniform patterns customized according to body shapes. The results of the study are summarized as follows:1. As the first step for covering the sizes customized according to body shapes, standard reference sized patterns were designed and selected. For standard reference sized specifications, eleven (11) sizes for jerseys/jackets and thirteen (13) sizes for pants were developed. 2. To extract body shape alteration elements, a factor analysis was performed with the design parameters of baseball uniform. Four body shape alteration elements for each of jerseys/jackets and pants were extracted. In consideration for wearing method and design among the body shape alteration elements extracted, volumetric size and the degree of abdominal protrusion (Factor 1), and height size (Factor 3) for jerseys/jackets and volumetric size (Factor 1), and height size (Factor 2) and difference in crotch length (Factor 3) for pants were chosen as the regions of pattern transformation. 3. In the case of the body shape alteration rules for jerseys/jackets, volumetric size as Factor 1 was applied to sizing for standard reference patterns, while for the degree of abdominal protrusion, the difference from standard reference patterns was applied to pattern transformation. For height size as Factor 3, the difference in body height from standard reference patterns was applied to pattern alteration so that it could be proportionally suited by pattern intervals. 4. In the case of the body shape alteration rules for pants, volumetric size as Factor 1 was applied to sizing for standard reference patterns, and for height size as Factor 2, the difference in body height from standard reference patterns was applied to pattern alteration so that it could be proportionally suited by pattern intervals. As Factor 3, difference in crotch length was applied to pattern alteration using multiple regression analysis with body height and waist circumference(omphalion) as independent variables. 5. Based upon the above-mentioned results, standard reference sized patterns were selected as patterns exploring variables, and sizes with differences from standard reference sizes were adapted to pattern alteration through a body shape alteration rule, followed by developing an automation algorithm of custom patterns for baseball uniforms customized according to individual body shapes.