• Journal of the Korean Society of Clothing and Textiles
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• v.36 no.3
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• pp.311-323
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• 2012

This study establishes the initial data to develop a well-fitted underwear pattern by categorizing and analyzing torso types based on body measurements of women in their 50s and 60s. The results are as follows: First, the statistical assessment on the body measurements showed meaningful differences among age groups in twenty seven items (except for bust breadth, hip width armscye depth, hip depth, neck base circumference, armscye circumference, chest circumference, hip circumference, bishoulder length, shoulder length, front interscye, back interscye, weight and inclined angle of left shoulder). Women in their early 50s and late 60s (respectively) showed the highest values in height and depth. Second, there are five body factors according to the results of the factor analysis: Factor 1 (circumference, width, and depth of upper body measurements) - the degree of body depth and obesity, Factor 2 (height and vertical length) - The vertical torso length, Factor 3 - the size of shoulder, Factor 4 - the vertical upper body length, and Factor 5 - the size of shoulder angle. Third, the results of the cluster analysis showed that there are four distinctive body types. The largest number of the study subjects was related to Type 3 (30.69%), followed by Type 2 (26.78%), Type 1 (25.84%), and Type 4 (16.69%), respectively. For distribution of age groups by body type, Type 3 was the most common among the 60s group while Type 2 appeared most frequently among the 50s.

• Journal of the Korea Society of Computer and Information
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• v.23 no.11
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• pp.111-122
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• 2018

The purpose of this study was to investigate the bodice prototype method suitable for the upper body shape of old-old aged women using the 3D anthropometric data. And it was to provide the basic data for the upper body garments of old-old aged women. In the overall appearance evaluation, the B pattern was rated as 4.00, and it was evaluated as the most suitable for the bodice prototype of the old-old aged woman. The E pattern was rated lower than normal, and the L pattern and the S pattern were found to be inadequate for older female bodice prototypes. As a result of the measurement of the waist and bust air gap of bodice prototype, the air gap of the bust was not significantly different between the patterns. But the waist air gap showed the largest difference between the L pattern and the S pattern. As a result of evaluating the appearance, the amount of space in the state of 3D simulation, and the air gap, the pattern B appeared to be the most appropriate prototype for the old-old aged women's body shape. However, there is a tendency that the shoulder end point is biased toward the back, so it is necessary to set the inclination of the back shoulder line to be more gentle. Conversely, the front shoulder should be more inclined. In the case of the 3D simulation, the B pattern showed that the other parts generally fit well. In the case of the 3D simulation program used in this study, it was evaluated that it is suitable only for the normal body shape because it is impossible to set the isometric angle which is one of the characteristics of the older female body shape. A study on the bodice prototype suitable for the bent body shape should be carried out through experiments on the actual body shape of various elderly women. In order to cope with the increase of elderly people who are familiar with digital, I think it is necessary to develop an avatar that reflects the old female body shape.

• Journal of the Korean Society of Clothing and Textiles
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• v.18 no.4
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• pp.560-565
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• 1994

The purpose of this study was to extract information of body form's classification on elderly women. We measured 242 subjects from 55 to 75 years of age, using 27 direct measurement items and 25 body indices. We analyzed these indices with factor analysis, cluster analysis We obtained these following results 1) Through factor analysis, 4 factors (obesity of torso, location of upper torso items, length of upper torso, location of lower torso items & shoulder length) were extracted from body indices. 2) Through culster analysis, we categorized 4 clusters. Namely, type 1, characterized the best slender type, type 2; characterized obesity type, type 3: characterized middle sized type ; type 4: characterized by fat type less than type 2. We considered that type 3 is the typical type on elderly women. Since analysis using indices is very profitable, it may be necessary to design dummies and patterns for clothing manufacture.

• Journal of the Korean Society of Costume
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• v.63 no.3
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• pp.95-109
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• 2013

This thesis was conducted with the purpose of proposing a systematic and comprehensive system for women's upper garment sizes so that the satisfaction level of women purchasing the upper garment products in Internet shopping malls is enhanced. To achieve this, this study first conducted a survey of women from the ages of 18 to 39 and attempted to discover consumer satisfaction levels and preferences of the clothing product sizing system of Internet shopping malls. While keeping track of the global distribution environment, an optimal clothing sizing system for Korean women that fit recent changes in their body shapes was proposed. The results of this study are as follows. First, A result of studying the satisfaction levels and preferences of consumer's purchase experience and the sizing system showed that 48.6% of the total respondents were dissatisfied with the current sizing system. Second, based on the research of the size classification system of domestic and foreign upper garment for women, unlike domestic Internet shopping malls, overseas generally offer several size classifications. Third, results of studies 1 and 2 was used to propose an optimal clothing products sizing system method. Also, the body and product sizes and the measurement methods should be offered together. In summary of all these results, by establishing globally compatible sizing system, consumers are able to recognize their sizes on their own and by doing this, it will lower perceived risk of the consumers at the time of a Internet shopping mall purchase, and this will raise their level of satisfaction while making purchases.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.3
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• pp.349-361
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• 2008

The purpose of this study was to develop bodice basic patterns fitted on different body types of adult women. To meet this purpose, first, human bodies were measured using tight fitting technique and classified based on the shapes of upper trunk. The subjects were 214 women $20{\sim}39$ years of age. For the measurement of female upper trunk, tight fitting technique was utilized. The development of figures of upper trunks were obtained from women. These development of figures were then digitized and analysed using the PAD system. A total of 155 measurements were taken from each of the development of figures. then, 32 measurements were selected for the further analysis. As complimentary data, 22 direct body measurements using an anthropometric method and 23 body measurements using a photographic method from the side view pictures of the participants were also obtained. The results and discussions of this study are as follows: Using the body measurements from the development of figures, a factor analysis and a cluster analysis were conducted. As a result, the body types were classified into 5 different types, which differ in terms of bust volumes, shoulder slopes, shoulder tilts, back silhouettes, body axises. The prominent characteristics of each type are as follows: The first type has a large bust volume. The second type has a right figure. The third type has a rounded back silhouette. The fourth type has a back silhouette of scapular coming backward. Finally the fifth type has a shoulder tilted forward.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.5
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• pp.846-858
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• 2008

This study was designed to propose a method to draft bodice block pattern from 3D body scan data. Subjects were ten elderly women in their 60's, who wear basic size(B: 94cm, W: 82cm) garment. Scanning was done using 3D whole body scanner(WB4, Cyberware). Measurements for 3D data and cross section were attained using Auto CAD, by which a upper bodice pattern for elderly women was drawn on the basis of short measured method. The results are as following: As for most items, no significant differences were shown between measurements from Martin's anthropometry and those from 3D scan data, suggesting measurement from 3D scan data could be used to draft a pattern. The drafting equations acquired were as follows; width of pattern=B/2+5.5, width of waist=W/2+3.5cm, dart amount=8cm. Dart distributions were 23%(B.P.) : 20%(front armpit) : 17%(side seam) : 18%(back armpit) : 15%(back protruded point) : 7% (center back line). Through wearing test using 5-point Likert scale, resultant pattern was evaluated as appropriate for elderly women's pattern to get over 4 point. As a result, it might be said that 3D scanning application is effective for elderly women in that it doesn't take time so much as Martin's anthropometry and that their body shape vary compared with those of young women.

• The Research Journal of the Costume Culture
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• v.16 no.3
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• pp.488-501
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• 2008

The purpose of this study presents bra pattern using the 3D measurements of the upper body subject to women in their 30's. Brassieres available in the market are mostly designed for straight body shape and many women seem to have experienced bearing discomfort in a great extent as they grow older. Brassieres should be designed to cover diverse body types and the accurate measurement of body type and breast shape is needed to accomplish that. As for the study method, 3D human body types were analyzed with RapidForm 2006, and the upper-body types and breast shapes were statistically classified through technical statistics analysis, cluster analysis, t-test, variance analysis, and cross analysis. The wearing tests went through the comparison of the brassieres of three makers in the market and the experiment brassieres(first and second) and then the evaluations were made by the subjects, the outer appearance assessment by experts, and 3D measurements. The results of this study showed that the evaluation of experiment brassieres was excellent in every item, and the significant difference was found out particularly in the items of pressure, rear center, front center, breast underneath, adequate level by wing, and adequate level by armhole. According to the results of 3D evaluation, experiment brassieres had a highest point in fitness with no physical pressure at the wing part and no overall deviation at the cup part.

• Journal of the Korean Society of Costume
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• v.64 no.4
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• pp.106-117
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• 2014

The purpose of this study is to provide basic information for the development of well-fitting and comfortable brassieres for women in their 30s, based on the classification of breast shapes by utilizing 3D body measurement data of women in the age group. The result of processing the measurements from the 3D body scan data through RapidForm 2006 shows that while the vertical body measurements decrease, the horizontal measurements, which indicates the degree of obesity, increase proportionally with age. Also, the relevant measurements for upper breasts increase proportionally with age, while the measurements for lower part of the breasts decrease as the degree of sagging increases. Four composition factors of the breasts were identified through the factor analysis: Factor 1 is the level of volume in the breasts and the surrounding area; Factor 2 is the position of nipples and the shape of upper part of breasts; Factor 3 is the position and vertical length of the breasts; Factor 4 is the shape of lower part of breasts; and Factor 5 is the shape of inner part of breasts and degree of width between both breasts. The breasts have been categorized into three distinctive shapes: Breast Shape 1, Breast Shape 2 and Breast Shape 3. According to the results of the cluster analysis, the largest percentage (36.68%) of women in their 30s falls into the category of Breast Shape 2 with small volume and flat upper breasts, followed by Breast Shape 1 (32.66%) with large volume in the upper and lower parts of breasts, and large side to side area, and Breast Shape 3 (30.65%) with average volume and width between breasts.

• The Research Journal of the Costume Culture
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• v.26 no.1
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• pp.95-108
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• 2018

This study analyzed the body shape of the body of 17~19 years old female students using the SPSS 20.0 statistical program according to the 7th Korea Human Body Survey. Factor analysis was based on six factors including body size, body height, shoulder length, and width, upper body length, hip length, and shoulder inclination related factors. Through this cluster analysis, the body shape of late adolescent female student was classified into four types. Body type 1 was the highest body height factor, and the upper body length and the hip length factor were lower. It was analyzed as 'Long leg in the body'. Body type 2 is the 'narrow shoulder skinny type' with high hip and shoulder slope factors and low body size, body height, shoulder length, and width factor. Body type 3 showed body size, shoulder length, height and hip length factor, and body height factor was rather low 'low hip obese body shape'. Body type 4 was analyzed as 'lower shoulder long upper body type' with higher upper body length factor and lower body size and shoulder slope factor. It is thought that when the pattern is made, it is possible to produce excellent patterns by fitting the dimensions of the body, as well as the dimensions of the shoulder width, the slope, and the hip length.

• Korean Journal of Human Ecology
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• v.18 no.6
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• pp.1303-1314
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• 2009

The purpose of this study lies in examining the characteristics of differentiated body types for plus-size women and obtaining basic data for the wide-ranging choices of ready-made clothing in a consumer's place. The results of this study displayed no significant differences for subjects in their 30s and 40s in comparison to standards by ages but showed a significant difference with subjects in their 50s when compared with the data from Size Korea (2004). Research data in the height and length categories were lower, and the majority of data from the other categories were higher. In order to analyze the characteristics of a plus-size woman's body, 4 factors were differentiated into 3 types with 17 categories: Factor 1 was the element of the thickness of the trunk, factor 2 was the element of the thickness of the lower body and legs, factor 3 was the element of shoulder size and factor 4 was the element of the upper body length. The accumulation rate was shown to be 74.47%. The characteristics for each type were as follows: Type 1 is a body type with a relatively thin waist, small width and girth of upper body and curvy lower body, type 2 is the average body type, and type 3 is a body type with big breasts and abdominal obesity. The standard body type belonged to type 2. According to the correspondency test between age and type, the characteristics of type 1 corresponded relatively close to the measures of subjects in their 40s and relatively far from subjects in their 30s to 50s while type 2 and type 3 appeared to be similar to subjects in their 50s.