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http://dx.doi.org/10.7741/rjcc.2017.25.4.476

Study on torso patterns for elderly obese women for vitalization of the silver clothing industry - Applying the CLO 3D program -  

Seong, Ok jin (Lab. of Fashion Design, Sejong University)
Ha, Hee Jung (Dept. of Clothing and Textiles, Sangmyung University)
Publication Information
The Research Journal of the Costume Culture / v.25, no.4, 2017 , pp. 476-487 More about this Journal
Abstract
The purpose of this study was to suggest torso patterns that fit the three main body shapes of elderly obese women. To reduce time, costs, and also the trial and error needed to make patterns, the CLO program for 3D test wear was employed. Three virtual models for aged obese women were use, with the YUKA system used to produce torso patterns. 3D simulation of test wear and corrections was done to design optimal torso patterns. The results were as follows: First, for the three models of obese women's body shapes as realized by CLO 3D, Type 1 is lower-body obesity shapes, Type 2 is abdominal obesity shapes, and Type 3 is whole-body obesity shapes. Second, to design the study patterns, actual measurement values, back waist length and waist to hip length, were used. The armhole depth (B/4-1.5), front interscye (B/6+2.3), front neck width (B/12-0.5), front neck depth (B/12+0.5), front waist measurement (W/4+ 1.5+D), front hip measurement (H/4+2+0.5), and back hip measurement (H/4+3-0.5) were calculated using formulas. Third, according to the results of test-wearing the study patterns, reduced front neck width and depth improved the neck fit and reduced armhole depth bettered loose or plunging armhole girth and also reduced the sagging of bust c.. Also, tight sidesfrom aprotruded waist and abdomen improved with the increase of surpluses in the back waist and also back and front hip c. The exterior was enhanced by displacement of back and front darts, which distributed surpluses better.
Keywords
elderly obese women; silver clothing industry; obesity body type; torso pattern; CLO 3D;
Citations & Related Records
Times Cited By KSCI : 9  (Citation Analysis)
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