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 Korea Fashion and Costume Design Association
/
v.24
no.3
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pp.49-61
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2022
This study aims to provide upper body shape information by analyzing the measurement data of middle-aged women aged 50-69, including baby boomers, whose economic power and activity have improved compared to the previous generations. In order to provide accurate upper body shape information by analyzing the body type using the 8th Size Korea measurement data, body shapes were classified through factor and cluster analysis using 75 direct measurement items. Upper body type was classified according to the factors, and the associated characteristics were analyzed. As a result of the comparative analysis of the upper body measurements from the 4th to the 8th Size Korea measurement, it was found that in the height item, both the waist height and the hip height increased, making the overall height greater and the leg length longer. The body circumference items tended to increase, but were found to decrease significantly in the 8th Size Korea (2021) measurement. Middle-aged women were classified using five factors. Factor 1 was the upper body obesity factor, and Factor 2 was the trunk vertical factor. Factor 3 was the width of the back shoulder, Factor 4 was the vertical factor behind the back, and Factor 5 was the length factor of the front garment composition. Middle-aged women were classified into four body types through cluster analysis. Type 1 is relatively small and skinny, Type 2 has the most obese upper body and developed back shoulders, and Type 3 is skinny and has a long back and short front. In Type 4, the upper body was relatively long and the shoulders were narrow.
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.
The aim of this study is to develop clothing size system according to each size interval for obese girls aged 10~12 by classifying the upper bodies. The criteria for subjects in this study were girls who had over 1.46 of the R$\ddot{o}$hrer Index. A total of 229 schoolgirls who met these criteria were enrolled. Results are as follows; 1st, 5 factors were extracted by factor analysis and 3 clusters were categorized by cluster analysis, cylinder-type, inverted triangle-type and inverted trapezoid-type. And 2nd, as a consequence of size system establishment, the basic body sizes and reference body sizes were different according to types even in commonly-appeared size names at sections of respective types. The research findings above suggest that it is necessary to figure out the obesity types according to height and bust girth sizes representing basic sizes and to design the patterns in consideration of the characteristics of obese body shapes. And it may be used as a basic data to decide the desirable output of production according to respective body types.
The purposes of this study were to classify somatotype was obtained from the factor scores of the upper half of body and analyze the somatometric characteristics. The sample group was drawn from boys at the ages 9 to 10 living in Pusan and Kyungsangnam-do. Data from each boy comprised 36 anthropometric measurements and 7 photographic measurements. The study reached following conclusions. 1. According to the analysis to draw somatometric factors, seven indicative factors were obtained from measurements of the upper half of body. The most significant factor "sectional size" and the second most significant factor "longitudinal size" characterized most aspects of body shape. 2. According to the analysis of somatometric characteristics by the upper half of body, they were categorized into four types; Boys in type 1 had high stature, broadest shoulders, average frame, flattest chest and quite protruded shoulder blades and belly; boys in type 2 had shortest stature, smallest frame, most sloping shoulders and flattest shoulder blades and belly; boys in type 3 had quite corpulent with average stature, rising shoulders, most protruded chest and shoulder blades and belly of protrusion close to the average; boys in type 4 had highest stature, biggest frame, broad shoulders and back, and most protruded shoulder blades and belly.
This study aimed to analyze adult men's body sizes and shapes and suggest size specifications to provide preliminary data to academia and industries. A total of 814 adult men aged 30-44 were selected from the 7th Size Korea data, and 55 direct upper body measurement and calculation items were analyzed using SPSS 25.0. In individual Individual differences, thickness, circumference, and width were high, and height and length were low. Height above the waist base line and shoulder dimension decreased in early 40s age group, while height below the waist base line declined as age increased. In addition, buttocks shape changes were found in early 40s age group. According to factor analysis, 'upper body and upper-extremity horizontal size', 'torso height and upper extremity length', 'shoulder dimension', 'upper body length' and 'shoulder angle' were derived. Using clustering analysis, four different body types were classified: i) big abdomen with flat chest, ii) slender with big, raised shoulders, iii) dwarfish with small, droopy shoulders, and iv) obese with large shoulders. 'Slender with big, raised shoulders' was a typical body shape among men aged 30-44. In older participants, the 'big abdomen with flat chest' ratio was low, while 'obese with large shoulders' was more common. This study proposed size specifications by body type considering the above characteristics.
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'.
Journal of rehabilitation welfare engineering & assistive technology
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v.10
no.3
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pp.199-206
/
2016
Most Koreans walk having their toes in or out, because of their sedentary lifestyles. In addition, using smartphone while walking makes having a desirable walking posture even more difficult. The goal of this study is to make a simple system which easily analyze and inform any person his or her personal walking habit. To discriminate gait patterns, we developed a gait monitoring system using a 3-axis accelerometer and a foot pressure monitoring system. The developed system, with an accelerometer and a few pressure sensors, can acquire subject's foot pressure and how tilted his or her torso is. We analyzed the relationship between type of gate and sensor data using this information. As the result of analysis, we could find out that statistical parameters like standard deviation and root mean square are good for discriminating among torso postures, and k-nearest neighbor algorithm is good at clustering gait patterns. The developed system is expected to be applicable to medical or athletic fields at a low price.
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.
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.
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