• 한국의류산업학회지
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• 제17권2호
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• pp.265-277
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• 2015

The aim of this study was to successfully reflect human body changes on the transformation of the virtual body within 3D virtual fitting spaces. For this purpose, existing problems of shape transformation of the virtual body were analyzed and regression equations which provides useful basic data for transformation of the virtual body that can be applied usefully to the 3D virtual fitting system was developed. Necessary data for the analyses were body measurement and 3D scan data of women with average physical form between the ages of 40 through 49. The reason that we used human body changes of the female subjects in their forties was based on the recognition that fundamental female body changes start to occur from age of forty. Body shapes were largely divided into 3 groups according to obesity which was found to be the biggest factor of shape change. Seven factors were extracted based on factor analysis of 47 body measurement categories and regression equations were created to extract specific measurements for each BMI group based on these seven factors. The major contribution of this paper can be summarized as follows. First, the regression equations to extract specific measurements based on the 7 representative variables remediated existing problem of virtual bodies as it increased the number of body shape transformation areas. Second, the regression equations helped to overcome the problem of current failing to reflecting changes in body cross-section shape based on simple girth measurements based on analysis of cross-section distances.

• 한국의상디자인학회지
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• 제22권3호
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• pp.99-110
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• 2020

In terms of junior high school girls' growth patterns during early adolescence, are unlike childhood when relatively balanced growth patterns are found and high school years in which the normal adult body type is nearly reached, growth patterns displayed are imbalanced and rapid. In fact, diverse size changes by body part growth occur significantly different from individual to individual. Therefore, it has been hard for junior high school students to select their proper size when buying school uniforms. This study attempted to acquire basic data needed to address adolescent body shapes and school uniform patterns for junior high school girls, using the data from the 7th Size Korea Survey (2015). Specifically, it provides basic data for the development of school uniform patterns through the classification of their body into particular types, After extracting body shape components and a cluster analysis using ANOVA. According to a factor analysis conducted to determine body shape components, six factors were obtained: Factor 1: bulk and horizontal size, Factor 2: body height and length, Factor 3: shoulder shape and length, Factor 4: shape of upper body, Factor 5: lower drop, Factor 6: upper drop with a variance of 81.46%. To classify junior high school girls' body shape and determine their characteristics, a cluster analysis was performed with the variables obtained using factor analysis. Body shape was classified into three different types: Type 1 accounted for 30.7%. This was a short, slender body with the smallest bulk, size, and upper drop. Type 2 accounted for 24.9%. This was the largest in bulk and horizontal size and highest and length as well. Type 3 accounted for 44.5%. This type was close to average in terms of horizontal size, length and height, and high drop values. To develop school uniforms with great accuracy and body fit for junior high school students, there should be further studies on changes in body shape and their causes. The study results can serve as basic data for comparing branded school uniform patterns for junior high school girls and developing school uniform patterns based on body shape, using 3D virtual clothing simulations.

• 한국가정과학회지
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• 제1권2호
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• pp.113-118
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• 1998

Clothing shape is principally described in seven factors that are composed of clothing design, clothing material, clothing size, pattern design, sewing method and body motion etc.. The aims of this study was to measurement out-line space-shape variation of clothing fitness with somato type by using the image processing. The subjects for direct anthropometric measurements were 248 female college students aged from 19 to 22. The data were statistically analyzed by principal analysis and cluster analysis. The results were obtained three somato type. Also I made skirts in order to analyzed to the out-line space-shape variation of clothing fitness with body. The effect of somato type on the shape of flare skirts was determined by the out-line space-shape variation of clothing fitness with body. The out-line space-shape variation of clothing fitness with body was observed between the node number and amplitudes of clothing wave form and node number was determined at the maxim of space-shape amplitude, and the space-shape amplitudes have related with aspect ratio of cross-sectional shape. Results for flare skirts show changes in amplitude and mean with fabrics, somato type. therefore gray-level histogram are correlated with changes out-line space-shape, differences in drape spacing and related fabric properties and their somato type. (Korean J Human Ecology 1(2):113∼110 1998)

• 한국의상디자인학회지
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• 제25권4호
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• pp.1-11
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• 2023

The purpose of this study was to characterize the upper body shape of men in their 50s and 60s by analyzing direct measurement data. Sixty one direct measurement items were analyzed. Subjects (n = 752) were classified based on 5 factors into 4 body types. In order to acquire accurate upper body shape information by analyzing body type using the 8th Size Korea direct measurement data, body shapes were classified through factor and cluster analysis. As a result of the comparative analysis of the upper body measurements from the 5th to the 8th Size Korea measurement, it was found that waist circumference item tended to increase significantly from the 5th Size Korea measurements. The upper body type of middle aged males were classified using five factors: the trunk obesity factor, the trunk vertical factor, the width of the back shoulder, the vertical factor behind the back, and the length factor of the upper body. Middle-aged men were classified into four body types through cluster analysis. Type 1 is relatively short with big arms, Type 2 has wide shoulders and thin arms, and in Type 3, the upper body is relatively long. Type 4 is the most obese upper body.

• 대한인간공학회지
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• 제17권2호
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• pp.49-63
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• 1998

The purpose of this study is to study real body size and ideal body shape by considering the degree of satisfaction of body part and understanding body size by the degree of leanness/obesity. The subjects in this study were 420 males from 18 to 25 years old. Body measurements and surveys were taken and analyzed by mean, standard variation, correlation analysis, regression analysis, crosstabulation analysis, cluster analysis, one-way ANOVA, and Duncan's Test. The results of analyses indicate that the subjects tended to be satisfied with thick chest and upper limbs, wide shoulder width, and preferred to be tall and have big hands and feet. By cluster analysis of 19 variables, the subjects were divided into 4 groups, each consisting 41, 138, 134, and 47 males. Because the 19 variables were body measurements transformed to eliminate the body size factor, this classification was considered to express how lean or how obese a human body appears. The results of one way ANOVA and Duncan's Test indicate that, according to the degree of leanness/obesity from Group I (lean tendency) to Group IV(obese tendency), characteristics of the body shape changed as follows; height became lower, limbs became shorter, trunk and limbs became thicker and weight became heavier. Also it showed that Group IV were most satisfied with chest girth, upper limb girth and shoulder width and Group I with height, hip girth and waist girth.

• 한국컴퓨터정보학회논문지
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• 제24권3호
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• pp.135-141
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• 2019

The purpose of this study was to analyze the direct measurement data of 20-25 years male university students of 7th Size Korea data and to characterize and to type the body shape of lower body. It was to provide basic data for male university students' pants pattern production. The lower body part consisted of the 'horizontal factor' of the lower body composed of circumference, thickness, width, and 'vertical factor' of the lower body composed of the length and height. This was consistent with the analysis of the body shape factor of the lower half of male adolescents. The lower body shape was classified into four types. Type 1 was thick and relatively long in the lower body and was named 'thick long leg'. Type 2 was named 'short bird legs' because the lower body was thin and relatively short. Type 3 was relatively thin and long, so the lower body was named 'long crane leg'. In Type 4, the lower body was relatively thick and short, which means 'short pillar leg'. In the case of 20-25 year-old male university students, they have different body shapes depending on the girth and length of the lower half of their body as they have reached adulthood. Therefore, it would be necessary to provide a sales system that allows the repair of the length of the pants to be facilitated, and the length of the pants to be repaired when the pants are selected according to the circumference. Future studies will need to classify the body shape according to angle and flatness.

• 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.

• 여성건강간호학회지
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• 제22권3호
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• pp.162-169
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• 2016

Purpose: This study was done to investigate the prevalence and factors affecting body shape misperception among Korean adult women. Methods: We analyzed raw data from the fourth Korean Longitudinal Survey of Women and Families, for 7,658 women over 20 years of age. For the multiple logistic regression model, the dependent variable was existence of misperception (yes/no). Results: The prevalence of body shape misperception was 42.6% (overestimation 6.5%, underestimation 36.1%). Multiple logistic regression analysis revealed that age, education level, marital status, economic status and BMI were significantly associated with body shape underestimation. Education level and BMI were significantly associated with body shape overestimation. Conclusion: An effective obesity intervention program for women must reflect and monitor body shape perception as well as BMI.

• 한국의류학회지
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• 제26권7호
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• pp.1026-1035
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• 2002

The purposes of this study were to classify the front view of trunk of adult males into several kinds of shape and to provide the characteristics and silhouette of each group which has same shape. As the sample, subjects were l290 males of 20 to 54 year-old. The procedure and results were follows; l. The principal component analysis was used to obtain the shape factor of the front of the trunk 8 factors in the front which explained 86.8% of total variance were extracted. 2. As the result of the cluster analysis of factor scores, the font of body was classified in 4 types. 4 types were named X, A, Y and H type in the front considering the characteristics of each type.

• 한국의상디자인학회지
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• 제25권4호
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• pp.147-161
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• 2023

This study used 3D anthropometric data from the 8th Size Korea to type and analyze whole body shapes of obese women in their 20s and 30s, and constructed dimensional data for human body items needed to create a 3D human body model for each type. The data analysis used data from 148 obese women in their 20s and 30s, and a total of 48 index values, drop values, and angle items were subjected to factor analysis and one-way variance analysis to categorize body types and verify significant differences by type. As a result of the factor analysis, 12 factors were extracted and divided into 4 body types. Type 1 is a 'standard type with a curved torso with balanced upper and lower body lengths', Type 2 is a 'bending forward type with a short, thick lower body, and an uncurved torso', Type 3 is a 'lean back type with a long and thin lower body and an H-shape torso', Type 4 is a 'sway back type with a long and thick lower body and abdominal obesity'. The representative body type of obese women in their 20s and 30s was identified as Type 1. The constructed body shape information will be used as basic data for future 3D human body modeling.