The purpose of this thesis is to offer basic data for clothing design which is intended to apply appropriate shape and capacity to clothes. The following are the analyzed results of an investigation which was conducted to characterize the upper half of the female body of 193 women whose ages are 18 to 25, taking part in this investigation. According to the results of analyzing young women's bust, I came to find a large individual difference of the wide varying factor numbers at the items of the side feature, the body stance, and the dart quantity. For the analysis of the female's upper body, 11 factors are used. The are as follows: Factor 1. width of the bust Factor 2. height of the bust and length of the arm Factor 3. side thickness of the bust and the upside type Factor 4. length of the bust on the front Factor 5. length of the bust on the back Factor 6. salient ratio of the breast Factor 7. width of the neck. the armhole, and measurement of the droop Factor 8. length of the shoulder Factor 9. flat ratio of the bust Factor 10. inclination of the shoulder factor 11. form of the back The shape of young women's upper bodies can be divided into four groups. The character ization of each group are as follows : Group 1 . 28.5% of the women who take part in this investigation belong to Group 1 These women have the shortest body, with a longer length of the front than the back and more thickness on the front than the back. Group 2. 21.1% of the women who take part in this investigation belong to this group. They show a longer length of the back and more thickness of the back than the front. In addition, this group is bent forward. Group 3. This group is the mast common type, showing the shortest and thickest character. 37.8% of the women who take part in this investigation have this bust character Group 4. 12.4% of the women belong to Group 4. They possess the highest and fattest character, skewing smaller necks, armholes, and waists than the other groups. This group also shows the drooping shoulders.
Journal of the Korean Society of Clothing and Textiles
/
v.32
no.5
/
pp.846-858
/
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.
Journal of the Korea Fashion and Costume Design Association
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v.18
no.2
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pp.15-33
/
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 Korea Fashion and Costume Design Association
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v.20
no.2
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pp.73-87
/
2018
As men in their 30s are spending more money on clothing, it is becoming increasingly important to first conduct an anthropometric study and then develop garment patterns accommodating the changes found in body sizes and types of men in their 30s, in order to effectively address their fit dissatisfaction. Thus this study aims to explore changes in upper body sizes and body types of men in their 30s, which provide basic measurements for designing major garment items including jackets and shirts. To this purpose, key anthropometric dimensions of the upper body of men in their 30s, taken from the 6th (2015) and 7th (2016) surveys conducted by Size Korea, were analyzed using SPSS 24.0 for Windows. Independent sample t-tests were conducted on major upper body sizes to track changes with measuring time. Factor and cluster analyses were used to classify body types. By comparing the two surveys, it was found that the overall body sizes of men in their 30s were increasing in height-related items, circumference, thickness, and width, -as well as body weight and BMIs. Upper body height-related items, in particular, showed a higher average value in the 6th survey than in the 7th, indicating that the overall body types of men are becoming "westernized" with longer legs and shorter torso. Finally, five factors were derived to determine the typical upper body types of men in their 30s and the body types were classified into three categories according to the cluster analysis. First, those with a relatively small build with short stature and torso. Second, those with the highest stature and vertical dimension with the smallest torso volume and least body fatness. Third, those with the biggest torso volume and most body fatness with bigger width between armpits and shoulders. The distributional pattern analysis showed that men in their 30s tend to have increasingly higher stature but lower body weight and BMIs than in the past, implying that their body types are becoming close to those of men in their 20s.
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.
Journal of the Korean Society of Clothing and Textiles
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v.33
no.8
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pp.1262-1272
/
2009
The study is classifies the figures of obese women aged 20-50 with an over 25 BMI from the data of the fifth Size Korea in 2005. As the result of conducting the factor analysis for segmenting the shape, Factor 1, Factor 2, Factor 3, and Factor 4 are respectively derived as the factor on a volume, the factor on the size of the vertical direction, the factor on the shoulder region, and the factor on the body length balance. As the result of conducting the cluster analysis using 4 factors (scores extracted from the analysis of factor analysis) the body type of obese women was classified into four types. The name of shape was specified by combining 'P' (an abbreviation of petite) that indicated the height (smaller than 155cm) among the height names of KS standard, 'R' (abbreviation of regular) that indicated the height (155cm-165cm) and the body characteristics. Type 1 had the longest length, and normal circumference, thickness, and width but with the developed shoulder. Type 1 was classified as a robust, 'Plus-RH'. Type 2 had the middle height, the shortest length of the upper part, a relatively-long length of the lower part of body. Type 2 shows the characteristics of a small body that was classified as 'Plus-PI'. The most obese body was Type 3 that had the normal length and shoulder size but showed the longest length of the upper part of the body; it was classified as 'Plus-PO'. Type 4 as the small shape had a potbelly and showed the characteristics of the shortest body classified as 'Plus-Pb'.
Somatotype is human body shape and physique type which can be classified not only by the size, but also by the shape or posture of the body. Postural variations in the alignment of the back, shoulder, and neck can have an adverse effect on the fit of garments designed to hang from the shoulders. There have been some previous studies about the lateral upper torso by analyzing photographic measurements. In this study, 3D body scan images were used to classify the side somatotype of upper lateral method even though they are major data in the classification of upper torso. This study focused on following objective.; 1) To apply new and developing technology into the apparel industry analyzing 3D body scan images. 2) To classify upper laterla torso using the data through the new improver technology, 3D body scanner. 3) To propose basic materials for well fitted garments for each type of figure. The test subjects for this study were two hundreds nine female aged 19 years and up who were recruited in Cornell university body scan research team. Seventeen Variables(12 angles, 5 lengths) out of 3D body scan data were measured based on these landmarks and applied to analyze. The result of factor analysis indicated that 6 factors were extracted through factor analysis and orthogonal rotation by the method of Varimax and those factors comprise 62.5% of total variance. And the somatotype of upper body is classified into 3 types of figures according to cluster analysis; Bent forward posture, Straight posture, Swayback posture. Future study could be addressed about the somatotype of body by the age group based on the large database with wide variety of age.
The upper-body characteristics of the right-handed and the left-handed are examined and compared through 1-dimensional measurement and 2-dimensional measurement. The results were as follows: 1. According to 1-dimensional measurement results, the clearest differences were seen in girth items rather than height or length items. In particular, hand girth, lower arm girth, and upper arm girth were bigger on the left side in the left-handed group and the right side in the right-handed group. This is thought to be relevant to the arm muscles frequently used. 2. According to 2-dimensional measurement results, significant differences appeared in the females of the left-handed group: shoulder point among width items. In the right-handed group, some differences of significance were shown in females (shoulder point, rear armpit point, and B.P. point among width items) and males (front neck point among extreme vertical distance items). In summary, the body type characteristics of the left-handed and the right-handed reveal great differences in the items related to arm length and arm girth. In other words, the sleeve and shoulder patterns production based on the right-handed don't rightly reflect the somatotype characteristics of the left-handed. In addition, in the cases of athletes, laborers, and the disabled who frequently use particular muscles or parts of the body, this sort of research in the patterns is consistently needed in order to reflect the size differences in girth items in upper body.
This study aimed to provide basic data for establishing a sizing system for menswear by investigating body size changes and body shapes in adult men in their 30s to 50s. Data on 52 different upper body categories collected from 4,314 people during the 5-7th Size Korea surveys were analyzed. The waist height, hip height, torso and arm lengths, and torso and upper limb circumferences increased while the arm joint sizes decreased. According to factor analysis, factors 1 and 2 referred to 'the horizontal size of the upper body and limbs' and the 'torso height and upper limb length', respectively, while factors 3 and 4 represented 'shoulder size' and 'upper body length' respectively. In clustering analysis, types 1 and 2 were 'short and fat' and 'tall and thin,' respectively, while types 3 and 4 represented 'tallest and chubby' and 'shortest and small' respectively. Torso length increased in the 30 to 40s in type 1 while torso circumference increased in the 30s and late 40s in type 2. In type 3, shoulders got bigger in the 30s. In type 4, torso circumference increased in the early 30s, and torso length increased in the late 40s. 'Thin' was a typical body shape in the early 30s. Among early 40s men, distribution evolved from 'small' to 'thin.' In the late 40s, while the percentage of 'small' decreased, the ratio of 'obese' increased. In the 50s, 'small' was the most common.
Journal of the Korea Society of Computer and Information
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v.27
no.4
/
pp.99-110
/
2022
This study attempted to develop a bodice prototype that is the basis for the production of upper body clothing for 20s plus-size women who have distinct characteristics from women with general body types. Through this, it was intended to provide basic data necessary for the development of plus-size women's clothing, which is revitalizing the market due to the increase in the obese population. Through the first evaluation of appearance and abdominal pressure, patterns such as moving the side neck, adding the amount of armhole dart, and adding the amount of sagging were modified. Through the second evaluation, corrections such as vertical side lines, reduction of the neck of the back center line, and adding the amount of armhole darts were performed. Through the third evaluation, the final pattern drafting method was developed by vertically modifying the side line and adding the amount of back armhole darts. In the case of 20s plus-size female body types, a drafting method distinguished from the general body type was required in the method of setting the side and hem due to the protrusion of the abdomen. This study can be said to be meaningful in that it proposed a bodice prototype drafting method suitable for the body type of 20s plus-size women. In the follow-up study, it is thought that the wearability should be evaluated through actual garment wearing.
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