• 패션비즈니스
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• 제16권1호
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• pp.150-159
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• 2012

This study intend to analyze differences between 3D body scanning sizes and direct measurement sizes of same subjects. The subjects of study are female students of university in China. 3D data analyze as a 3D Body Measurement Soft System. The conclusion found is as below: In case of circumferences, error between direct-measurement size and 3D body scanning size is from 4.9mm to 62.2mm. The neck circumference size of directmeasurement is bigger than 3D body scanning size. The height error range is from 0.6mm to 51mm. Height of underbust, waist and hip are that direct-measurement sizes are higher than 3D body scanning sizes. Gap of width is from 3.8mm to 21.9mm. The gap range is too narrow relatively to others. Only direct-measurement size of neck width is wider than 3D body scanning size. Error range of length is from 0.3mm to 41.8mm. 3D body scanning sizes of lateral neck to waistline, upperarm length, arm length, neck shoulder point to breast point, shoulder center point to breast point, lateral shoulder to breast point are longer than direct-measurement sizes. They have a negative margin of error. I intend to set up same measurement point between direct-measurement and 3D body scanning but they have some errors because direct-measurement point is applied by a person. 3D body scanning measurement point is settled by automatic system. A measurement point of direct-measurement and 3D body scanning isn't unite. So we need to make a standard of setting up measurement points.

• 한국의류학회지
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• 제37권1호
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• pp.39-50
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• 2013

This study estimates the measurements required to make garments but omitted from Size Korea 2010. Before the estimation of the measurements, the differences of the measurement methods were reviewed through previous research related to clothing construction and various measurement protocols that include previous Size Korea 2010 projects and ISO. The research target was 308 females aged 20 to 30 who lived in Seoul and the surrounding Gyeonggi province. A total of 43 measurements were obtained by the direct measurement method and analyzed in this study. In addition, 17 measurements which differ from the measurement method were also measured directly. These 17 measurements items were waist height, waist back height, waist height natural indentation, body rise, rise length, waist back length 1 & 2, posterior shoulder length 1 & 2, arm length 1 & 2, upper arm circumference 1 & 2, elbow circumference 1 & 2, and waist circumference 1 & 2. To analyze the differences in measurements, the subjects were divided into 2 age groups (20's and 30's). The results were as follows: First, there were big differences in stature, waist height, shoulder length, total length, and neck shoulder point to breast points by age groups; however, there were no differences in 17 measurement (such as shoulder angles) by age groups. Second, it was determined that 'waist circumference 1 & 2', 'waist back length 1 & 2', 'arm length 1 & 2', 'elbow circumference 1 & 2', 'upper arm circumference 1 & 2' and 'body rise & rise length' had significant differences by measurement methods in the entire group as well as each age group. Third, the values of 8 measurements omitted from Size Korea 2010 were estimated using similar measurements. The results of the correlation analysis were utilized to select reasonable independent measurements. Finally, 10 regression equations were obtained by regression analysis; subsequently, these will be useful for estimation of omitted measurements in Size Korea 2010.

• 패션비즈니스
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• 제11권4호
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• pp.135-151
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• 2007

This study is human body measurement of 200 adult males in their 20s by both direct and indirect methods in order to reveal the representative male upper body types. Composition factors of body types were classified while the combination of direct-indirect measurement values was chosen. The following are the findings: 1) The analysis of direct-indirect measurement statistics showed the following results: 173.80cm (height), 69.87kg (weight), 95.58cm (chest girth), $24.67^{\circ}$ (right shoulder angle), and $9.34^{\circ}$ (shoulder width angle). 2) The factor analysis of the body types by direct measurement produced 5 factors: 1 (front length of upper body), 2 (front length of upper body), 3 (back length of upper body), 4 (circumference of upper body), and 5 (shoulders length). These factors accounted for 90.08%. Also, the cluster analysis of factor scores led to 3 types: 1 (33%, short, comparatively wide shoulders and full in the hips), 2 (25.1%, well-developed upper body in tall, inversed triangle), 3 (41%, average height, short upper body). 3) The body-type factor analysis by indirect measurement resulted in 6 factors with the explanation of 83.24%: 1 (rear upper bady thickness), 2 (front upper body width), 3 (front chest thickness), 4 (left-right shoulder angle), 5 (front width of protrusion distance in chest and shoulders), and 6 (neck's front-rear side angle).In addition, the cluster analysis of factor scores brought about 4 types: 1 (15%, well-developed front chest, beardless waist), 2 (23.5%, flat chest, with shoulder, drooping shoulders, strait neck), 3 (39%, with shoulder, curved back), and 4 (22.5%, narrow and thin, curved waist). 4) Among the 118 subjects (75%), 58 subjects commonly appearing in indirect measurement values group and direct measurement values group were chosen the representative body type group according to asterisk indexes. They had the highest frequency in direct type 3 and indirect type 3, whose combination represented the physical characteristics of the representative body types.

• Human Ecology Research
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• 제57권4호
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• pp.513-522
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• 2019

This study analyzes the characteristics of somatotype changes of girls from the ages of 13 to 18 that provide basic data on clothing construction for middle and high school girls. We use data obtained from body measurements of 1,590 adolescent girls 13 to 18 years of age provided in the 6th national anthropometric survey report. The differences among the age groups for 56 direct measurements were analyzed by ANOVA, and the structures of the differences by SNK (Students-Newman-Keuls test) were analyzed. The two major growth ages were 'ages 13-14' and 'ages 15-16'. The first major growth ages focused on all measurement items of height, length, circumference, breadth, depth and other items. The second one focused on measurement items of height and length of torso, circumference, and breadth of lower body. The major growth pattern of the age groups was 'ages 13<14&15<16&17&18' which appeared focused on the height and length items of upper body and torso, the width items of lower body and the circumference items of upper body and lower body. The measurement items of front length like waist front length, N.P. to B.P to waistline, N.P. to B.P., and B.P. to B.P. showed the growth pattern for 'ages 13<14<15<16<17&18'.

• 복식문화연구
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• 제22권6호
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• pp.965-978
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• 2014

To determine the parameters to be considered when designing lower-body apparel, we analyzed the lower-body figures of adult women in their early 20s from Shanghai, China, using 3-dimensional whole body scanner. Thirty-nine lower-body-related measurements were used to analyze the figures of 210 Chinese women. Obesity and height of the lower body, length from waist to crotch, shape of abdomen, and leg bone length were analyzed. Factor analysis was performed and the results were classified into three clusters. The first cluster describes the obesity of the lower body, the second denotes small hip measurement, and the third describes slim and long legs. This is the first study to quantify figure analysis of the lower body of Chinese women using 3-dimensional body measurements. The findings of this study will provide concrete information regarding crotch width, crotch length, inseam, outseam, waist slope, etc., for designing trouser patterns for Chinese adult women.

• 한국의류산업학회지
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• 제16권1호
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• pp.118-127
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• 2014

This study proposed a revision of standard sizing system for infant clothing to provide exact information for consumers and manufacturers. The size designation was set up by compensating the defect of existing system. Basic body measurement and reference body measurement were analysed according to size designation. The ages of the infants ranged from 0 to 36 month in accordance with safety standard of KC Self-Regularity Safety Confirmation. The results are as follows: Size designation for infant clothing was based on height that was basic body measurement. Chest girth, waist girth, head girth, arm length, foot length and weight were also analysed according to age of the month. It was proposed that height could be written alone and height with age of month did together for size designation. Size intervals of basic and reference body measurements were fixed as follows: size intervals are 5 cm in height, 2 cm in chest girth, 2 cm in waist girth, 1 cm in head girth, 2 cm in arm length, 0.5 cm in foot length and 2 kg in weight. The distributions of height and chest girth showed normal distributions. As height was taller, chest girth was also bigger. But the distribution of waist girth didn't show remarkable change with age of month. The distributions of arm length and weight showed remarkable difference with growth in 0~9 months, but the amount of growth variation got less in 12~18 months.

• 복식
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• 제40권
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• pp.81-93
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• 1998

It is necessary to research shape of the breast of girls at adolescence for developing well-fit brassiers. 313 participants reside in Chonju and Kunsan were gathered for body measurement. The conclusion of this study can be summarized as follows. 1) The Analysis of Body Shape by Measurement. Comparing Age GroupⅠ(aged 10 to 12)' measurement with Age GroupⅡ(aged 13 to 15)', Each items has statistical significance. Two groups differed in the length, girth, depth, width items. 2) Factor Analysis of Body Measurement (1) Age GroupⅠ'characteristics were categorized Three Factor : Breast size and breast apex length. Breast volume, Length of the Breast part. (2) Age GroupⅡ' characteristics consist of four factors, which are named as breast size and its jut (first factor), breast volume (second factor), contour of breast profile & its jut (third factor), shoulder length (fourth factor). 3) Characteristics of Breast Shape. (1) Breast shapes of Age GroupⅠ are classified into three types. Types 1 is a protruded and more voluminous shape. Type 2 is the most voluminous and breast fatness is highest. Type 3 is the smallest and flat shape growing now. (2) Breast shapes of Age GroupⅡ are also classified into three types. Type 1 is the longest in length and middle in fatness, voluminous in size. Type 2 is the smallest in stature and the slimmest in fatness in breast shape. Type 3 is middle in length, the fattest and the most voluminous in breast.

• 한국의류산업학회지
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• 제19권6호
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• pp.749-758
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• 2017

The purpose of the present study is to develop a grading deviation, which is appropriate for the body type of women in thirties, by analyzing the three-dimensional body type. The materials for the study were adopted from the body measurement data of women in the age group of 30 to 39 years old, provided from Size Korea. By reflecting the factor analysis results using the three-dimensional shape measurement, deviations were derived. First, six factors influencing the changes in human body shape were derived as waist-hip length factor, bust-waist shape factor, back protrusion back shoulder factor, bust length factor, shoulder length factor, and frontal waist dart factor. The bust size and height, which can be easily utilized for the top original grading, were used for deriving a regression formula, and the deviation was set in accordance with the result. Second, by applying the deviation which reflects the changes in the body shape, the crimps which were generated due to the application of existing deviation were remarkably reduced, indicating that the grading of the present study is more fitting than the existing one. The deviation derived by the analysis of actual increase and decrease of body size was more fitting than the existing one. This was proved by actual wearing experiment, which represents the significance of this study.

• 한국의류학회지
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• 제34권6호
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• pp.937-954
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• 2010

This study analyzes the body characteristics of Korean obese women using 2004 Size Korea data. For selecting the obesity sample, 7 obesity judgment indices were chosen from previous clothing-related studies. A total of 636 females defined as "obese" by 5 out of 7 indices were selected as subjects for this study. 54 body measurements and obesity judgment indices were used. First, the subjects had a BMI 27.11, R$\ddot{o}$hrer index 1.76, Vervaeck index 104.77, Relative weight 133.00, and WHR 0.90. In the case of the distribution by age groups, the twenties were 6.4% of the entire subjects, the thirties were 18.2%, the forties were 16.4%, the fifties were 37.4%, and the sixties were 21.5%. The result of the ANOVAs (divided into 5 age groups) showed significant differences in 41 measurement items except for bust circumference, waist length front, and all of obesity judgment indices. Second, according to the ANOVAs among stature groups divided by 5cm pitches there are significant differences in all measurements except for bust circumference. The results of the ANOVAs among bust circumference groups divided by 5cm pitches show that significant differences were observed in all measurements except four measurement items (including body rise). According to the ANOVAs among the waist circumference groups divided by 5cm pitches, there are no significant differences in all height measurements and shoulder length, waist to hip length, and crotch length. It is confirmed that stature and bust circumference have a deep relationship with measurements other than waist circumference. Third, as the factor analysis were conducted using 39 measurement items to extract the body characteristics of obese women Factor 1 is "circumference measurements & obesity judgment indices," Factor 2 is "heights & arm-related lengths," and Factor 3 is "size and ratio of waist circumference & hip circumference." Factor 4 was "lengths in upper body," Factor 5 was "back width in upper body," Factor 6 was "side neck point to bust & bust circumference," Factor 7 was "length in lower body & arm circumferences," and Factor 8 was "neck base circumference & front widths in upper body." These 8 factors explained 76.54% of the total variance.

• 한국의류학회지
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• 제20권1호
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• pp.128-141
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• 1996

The pourpose of this study is to determine the exact size which can be the basic elements of the fashion design with the measurement of middle-aged women's body, and to grasp the peculiar tomato type of the middle-aged women by compacting each measurement and examing the change of body shape. Making 215 house wives about 40 to 55 years old the subject of this research, we measured the body size from June to August, 1994. After analyzing the data through the 43 item.; of the body measurement, grasping the characteristics of the tomato type, we classified three types of physical standard and looked into the element of body structure. The results were as follows; 1. The average Rohrer index of middle-aged women in Tas-gu is about 1.5 and they usually seem to be fat compared with other groups. 2. Age has much influence on the body change of middle-aged women. Especially around 45 years old, the body change showed remarkable. 3. When analyzing the elements of the body measurement, the biggest elements of middle -aged women's body structure are in the items of width, thickness and girth related to the expansion of body line. Therefore in the middle age, the thickness and the girth have more influence on the human body than the height and the length, so the items of thickness and girth is the most important factor in the somato type. 4. In the slim body and standard body, the thirst factor is the items of height and length related to vertical size and the second is the items of width and thickness and girth. In ice fat body the first factor is the items of width, thickness, girth and the second is those of height, length. Unlike other body shapes, the fat body has many factors, which shows that the fat body has much variation in each part in proportion to fatness.