• Fashion & Textile Research Journal
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• v.19 no.6
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• pp.804-812
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• 2017

This study builds a database that can be reflected in the production of dress form for fitting by typifying the upper body shape of a senior male. This study analyzed the 3D shape data of 405 persons of the 5th Size Korea. The age range is from 50s 210 persons and 60s 205 persons. Analysis items to identify upper body shape of senior males consisted of 51 items. 3D shape data were also measured using a Geomagic Design ${\times}$ program for the analysis of the upper body of the senior male required for the dress form of this study. The reference point was based on the Size Korea 2010 3D measurement standard and created points (Back-protrusion) on shape data. As a result of the senior men type, the senior men's body type was classified into four types:1. Overall, the upper body is a large body type and the most undistorted overall body type 2. Width / Thickness Flatness is the largest and vertical length factor is the smallest abdominal obesity type 3. Severe flexion of the back part type 4. The upper body is small and the scapular bending is severe. The elderly body type showed a high distribution ratio in the type with severe flexion. The development of a dress form that reflects the cause of the finery issue can improve the fit of ready-to-wear.

• Fashion & Textile Research Journal
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• v.21 no.6
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• pp.789-799
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• 2019

This study classified and analyzed the upper body types of 7-13 years old elementary school boys, using 3D data from the 6th Size Korea. The results of this study are as follows. Seven factors were extracted from the factorial analysis as an independent factor for a cluster analysis. The cluster analysis generated four body types. Type 1 has large ratio of front and back depth as well as circumference, with a front protrusion. In Type 2, the vertical value of upper torso is longer than average; in addition, its flatness is the largest and produces a thin body type. Type 3 has a smaller flatness in the bust, waist, abdomen and hip than other types, while also having the largest BMI. Type 4 is characterized by a greater shoulder angle than other types and its other factors are close to average. As a result of the logistic regression analysis, the prediction model used eight variables to generate and its accuracy is 88.679%. The classification of upper body types from this study can be used as basic data to improve patternmaking for each body type. The generated prediction model is also expected to be used as a method to help classify upper body types using the eight variables.

• Journal of the Korea Fashion and Costume Design Association
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• v.18 no.2
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• pp.15-33
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• 2016

Women in their 30s and 40s, who are at the center of "ageless" and "down-aging" consumer trends, are likely to encounter problems with fitting and size conformity when they wear casual clothes targeting women in their 20s. Hence, differences in upper body sizes and body types between women in their 20s and women in their 30s and 40s were analyzed. The data for this study was from the 6th Size Korea survey of body measurements of 1,675 female adults in their 20s-40s. SPSS 21.0 for Windows was used for analysis of the collected data. To examine differences in average upper body size between women in their 20s and women in their 30s and 40s, descriptive statistics and independent sample t-tests were conducted. Factor and cluster analyses were used to classify body types by age groups. Comparing direct measurement items showed that women in their 20s tend to have higher average values for most height-related items-including body height-and lower average values for circumference, thickness, and width than women in their 30s and 40s. Factors in determining the upper body shapes of women in their 20s to 40s were narrowed to five; through a cluster analysis, upper body shapes of women were classified into three body types as follows. Type 1 women are shorter and thinner with small frames; Type 2 women have the highest vertical values for their upper bodies and average values for obesity-related categories of circumference, thickness, and width. Type 3 women are the shortest and has the highest body mass index (BMI), verifiable as obese. By analyzing differences in body type distribution according to age groups, it was found that more than 90% of women in their 20s belong to Types 1 and 2. On the other hand, most women in their 30s and 40s are identified as Type 3.

• Journal of the Korean Society of Costume
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• v.45
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• pp.17-28
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• 1999

This study was to analyze factors of the body form and factors of bodice pattern through a surface developement figure for the tight bodice pattern design. Fifty replicas of the trunk surface were made by applying a surgical tape method of female subjects between 18 and 24 years old. The result was as follows: 1. The gaps between direct measurements and measurements of the surface development figure were regarded as allowances for the tight bodice pattern. 2. There are four factors of body form selected by factor analysis. The 1st factor signifies th degree of fatness in the upper body. The 2nd factor signifies the length of the upper body. The 3rd factor signifies the part of the front shoulder. The 4th factor signifies the part of the neck. 3. There are high correlations between center back line of the surface development figure and back length line side line front length line back neck depth back upper chest depth. There are high correlations between back bust line of the surface development figure and back interscye breadth line back upper chest line back armhole line. There are high correlations between front bust line of the surface development figure and front upper chest line front interscye breadth line front armhole line front neck breadth 4. The regression expressions of measurements of the surface development figure of the upper body were analyzed as(Fig. 3).

• Journal of the Korean Home Economics Association
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• v.41 no.5
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• pp.89-97
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• 2003

Fitness of clothes becomes a major concern in apparel industry. But high-school boys had difficulties to buy ready-made clothes of good fit. To solve this problem, it is necessary to classify boys' upper body into several kinds of somatotypes. The purpose of this study was to classify upper body types of high school boys based on the analysis of their upper body types. The subjects for anthropometric measurement were 99 high school boys of 16 to 18 year-old. The result of factor analysis indicated that 5 factors were extracted from anthropometric measurements through analysis and those factors comprise 68.44% of total variance. 3 clusters were categorized using 5 factor scores by cluster analysis. Type 1 was taller than other types and was bending somatotype. Type 2 was straight somatotype and had average size. Type 3 was characterized by short and small figure and had bending somatotype.

• Journal of Korean Medicine for Obesity Research
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• v.5 no.1
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• pp.141-146
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• 2005

It is very important that the ratio of Soft Lean Mass and Body Fat Mass in body composition. Generally we make an effort not only weight reduction but body fat mass reduction, and finally percent body fat is reduced. And we make an effort to reduce of partial obesity. I have one case that improvement of imbalance on the upper and lower part of the body by Oriental Medicine. We have the result that the upper part of the body composition is increased and the lower part of the body composition is decreased.

• Journal of Fashion Business
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• v.9 no.3
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• pp.47-63
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• 2005

The study with the subjects at 200 adult males in Busan in their 20s had a purpose at analyzing lateral body shapes to develop men's educational dress forms. The following are the conclusions: 1. Comparison at the Body Dimensions at Busan Male Adults in Their 20s and the 5th Survey at Korean Body Measurement In the comparison at the Busan and national body dimensions by way at Mollison's relative deviation, all compared items were under the deviation of 0.7. Therefore, the sample of Busan male grown-ups is understood io represent the body shapes of the average Korean male adults in their 20s. 2. Results of Lateral Body Shape Classification From factor analysis, seven factors were produced to explain 75.45% of all variables. Those 7 factors to compose lateral body shapes were hip prominence, back-neck sides, upper body's front-back depth, lateral upper body depth, hip-waist depth, front chest-waist depth, and hip and waist height. Cluster analysis revealed four characteristic lateral body shapes. Type 1 with the appearance rate of 11.70%, named D, had the greatest upper chest angle and tanterior neck lower angle. The front side was more developed. Type 2 with 33.51%, named I, was generally long and slender. Type 3 with 24.47%, named d, had the biggest depth differences in hip-chest as well as more prominent back hip. Type 4 with 30.32%, named q, had the biggest dorsal upper angle and the tiniest chest upper angle as the back area was a little bent.

• Fashion & Textile Research Journal
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• v.25 no.5
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• pp.603-614
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• 2023

Body shape is the most influential factor in determining the quality of clothing fit. Women's body shape begins to change significantly in their mid-30s; therefore, this study aimed to classify and analyze the torso shapes of women aged 35-54 years. This study selected 200 3D body scans of women from the 8th Size Korea Survey database (2021). Using the Grasshopper algorithm developed in a previous study, 17 landmarks were automatically detected and 57 measurement values were generated. Using principal component analysis, 11 components (overall body size, upper body length, back protrusion, upper body slope, neck position, neck inclination, hip length, bust prominence, abdominal prominence, shoulder slope, and buttock prominence) were extracted. Three torso types were identified using K-means cluster analysis. The three body types were significantly different on nine component scores. Among the three torso types, Type 1 (37.5%) has the longest upper body and the flattest back and hips. Type 2 (31.0%) has the most curved back and forward upper body. Its abdomen is the flattest, and its shoulders are the most sloped. Type 3 (31.5%) has the shortest upper body, the most protruding hips, and the largest overall body size. This paper proposes two discriminant functions for identifying a new person's torso type.

• International Journal of Costume and Fashion
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• v.3
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• pp.13-24
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• 2003

The purpose of this study was to examine the changes brought by the upper body form using a three-dimensional human body measurement the gypsum method. The developed plane figure was constructed using paper replica to analyze the dimensional shape of the upper torso and to be able to design clothes suitable for elderly women's physical characteristics. The characteristics are analyzed and compared with existing patterns in order to extract the components for the pattern design. The examination was carried out based on the developed plane figures of upper body surface replicas. Type 1, the bent-forward body form, has a wide gap on the shoulder. In Type 2, the gap of waist line was wide at angulus scapulae point. Type 3 was the thin body form, and the girth of the chest, front interscye breadth and back interscye breadth were more level with one another, compared to the other types. In Type 4, the bent-backward body form, there was a wide gap on front shoulder. Comparison with the developed plane figure and existed pattern, items revealed differences in significance included the front and back interscye width between the measured values of the existed patterns and the developed plane figure. Therefore, the basic components of basic bodice pattern for old women were determined in the up-bust circumference and length of the back.

• The Research Journal of the Costume Culture
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• v.15 no.6
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• pp.1008-1022
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• 2007

The purpose of this study is to propose apparel sizing system for each body shape of early adolescent boys. The subjects of this study were 549 boys in the capital area. Their body shapes were classified and apparel sizing system was proposed for each body shape. For data analysis were performed descriptive statistics, correlation analysis and crosstabulation using SPSS Ver. 12. The control dimensions to propose apparel sizing system were stature and bust circumference for the upper garments. Intervals between sizes were 5cm for stature and irregular for bust circumference. For each type, $5{\sim}7$ sizes were proposed for upper garments. Reference measurements suggested for upper garments were 9 items. This study is meaningful in that it classified early adolescent boys' body shapes and proposed apparel sizing system for each type of body shape under the current circumstances where basic data for body shape classification and apparel sizing system of early adolescent boys were not in place.