• Journal of the Korean Society of Clothing and Textiles
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• v.37 no.8
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• pp.1075-1094
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• 2013

This study analyzed the lower body type of women aged 20 to 30 to understand their respective characteristics. The research method was restricted to the use of direct measurements data and 3D measurements data of the Sixth Size Korea. Factor analysis, cluster analysis, ANOVA, Duncan's test, discriminant analysis, t-test, and ${\chi}^2$-test were performed for the statistical analysis of the data using SPSS Win 20.0 program. The results of this study are as follows. Lower body type based on 3D measurements were classified into 3 types (obese lower body, long lower body, and small lower body). Lower body type based on direct measurements were classified into 3 types (obese lower body, thick and long lower body, and small lower body). Lower body type based on the direct measurement of sitting pose were classified into 3 types (obese lower body, long and thin lower body, and short lower body). The age differences in the lower body types could be analyzed by an evaluation of the 3D simulation of the lower body.

• Journal of the Korean Society of Clothing and Textiles
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• v.46 no.4
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• pp.672-686
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• 2022

The study classifies and analyzes the lower-body-shape types of female adolescents aged 14 to 16 years to provide meaningful information for making ready-to-wear patterns that are suitable for various female adolescent body types. The body-size data of 830 females aged 14 to 16 years were analyzed from 6th Size Korea anthropometric study. A factor analysis of 27 measurement items related to the lower body extracted 3 factors: waist/upper legs, height of the lower body, and hip area. A cluster analysis classified the female adolescent lower-body types into four clusters: the skinny body type with the shortest lower-body length, the most obese body type with the largest girth, the normal body type with the longest hip length, and the slender body type with the longest lower-body length. The discriminant analysis determined that nine measurement items had the most influence on classifying lower-body-shape types, and discriminant functions were derived. These results are meaningful because they provide more precise information about lower-body-shape types.

• Journal of the Korean Society of Clothing and Textiles
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• v.24 no.3
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• pp.345-352
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• 2000

The purpose of this study was to classify lower body types of elementary school girls. The subjects for anthropometric study were 368 girls aged from 10 to 11. Factor analysis, cluster analysis, discriminant analysis, and analysis of variance were performed for statistical analysis of the data. Four lower body construction factors were extracted by the factor analysis of antropometric measurements. The factors extracted were lower body fatness factor, lower body height factor, lower body length from the waist to the crotch factor, and lower body configuration factor. On the basis of the cluster analysis, three different lower body types were categorized. Type 1 was short and small sized type and 42.4% of subjects belonged under this type. Type 2 was tall and fat type and 22.3% of subjects belonged under this type. Type 3 was the most similar to the average type having the largest waist-hip drop value and 35.3% of subjects belonged under this type. Discriminant analysis showed 7 discriminant factors that can classify the children's lower body type were Rohrer's index, height, fibulae length, waist girth, ilio cristale girth, trochanter girth, and weight.

• Fashion & Textile Research Journal
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• v.15 no.2
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• pp.240-246
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• 2013

Data from 540 subjects (included in the obesity group whose BMI was over 25) was selected from 2,445 subjects in the $6^{th}$ Korean Body Size Survey. A total of 25 direct measurements were selected for the relevant literature lower body size measurement analysis, that included 9 components related to BMI, height and circumferences, 3 components related to width and thickness, 5 components related to length, 3 components related to height, and 2 other components. Descriptive statistics, factor analysis, cluster analysis and variance analysis were executed using PASW 18.0 to analyze the data. In accordance with the factor analysis results to classify the lower body shape of overweight women in their 20s to 60s whose BMI was over 25, 4 factors were identified (lower body volume, leg volume, lower body length and leg length). A total of 4 lower body shapes of overweight women were found through cluster analysis using 4 factor scores from the factor analysis. Body Shape 1 had the largest lower body and leg volume. It was the heaviest group. Leg length was at a normal level. Body Shape 1 was 22.2% (122 subjects). Body Shape 2 had the longest legs and the smallest body shape; however, Body Shape 2 was the leg obesity group with the largest leg volume. It was 39.8% (215 subjects). Body Shape 3 had a smaller leg volume in proportion to the lower body thickness and a long lower body length. It comprised 27.8% (150 subjects). Body Shape 4 comprised 9.8% (53 subjects) with the shortest leg. Its lower body obesity was at a normal level.

• The Research Journal of the Costume Culture
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• v.22 no.6
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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.

• Journal of the Ergonomics Society of Korea
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• v.28 no.1
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• pp.21-27
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• 2009

The purpose of this research is to understand the physiological characteristics of muscular men between the ages of 20 and 34 years who are distinct from the general population due to their muscular development, and to categorize them according to upper body somatotypes. This research was conducted in order to provide basic data necessary for developing clothing products for muscular men. The research method and results were as follows: 1. The study carried out factor analysis with the body measuring value of 168 muscular men according to the body classification method of Sheldon and Heath-Carter. The study materialized muscular men's lower body types statistically by carrying out cluster analysis, regarding scores of each factor extracted from the factor analysis as an independent variable. The study also carried out discriminant analysis with the results of cluster analysis classified so that morphological characters of each type were remarkably distinguished. 2. As the results of factor analysis, the study set up number of factors as three. Factor 1 occupied 38.149% of the total variables as a size factor of the lower body. Factor 2 occupied 20.417% of the total variables as a height and length factor of the lower body. Factor 3 occupied 8.466% of the total variables as a length factor of the hip. 3. The study classified the lower body type into three types and the characteristics by each type were as follows. Type 1 was a group with the best developed muscle in the lower of the body, considering that a size of their lower bodies was the largest. Type 2 was well-balanced muscular males though a size of the lower body was smaller than other types. This type didn't have fatness of the abdomen and large hips. Type 3 was a body type that the length from the waist to the hip was long. 4. As the results of carrying out discriminant analysis to distinguish muscular men's lower body types, the discriminant accuracy was 86.3% over all in the lower bodies.

• Journal of Fashion Business
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• v.20 no.2
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• pp.181-196
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• 2016

This study intended to suggest criteria for selection of subjects by lower body shape types necessary for evaluating slacks. For this, the characteristics were examined by lower body parts which would influence the fit of slacks on 3D human body shape data of the front and sides of the lower body for lower body shaping. The frequency of subjects by lower body shape types and the boundary points for discrimination of each type were suggested so that they could be available in selecting subjects. Using the data from Size Korea(2004), indirect measurement values measured on the front and sides of the lower body among 3D human body shape data of 175 subjects were analyzed. Their height, waist, and hip circumference fell under the range of standard deviation based on the mean of women aged 18~24 years, and then lower body shaping was conducted by combining the front and side shapes of the lower body. The front of the lower body was classified into four sections: average waist/average hip type(F1), average waist/narrow hip tyle(F2), narrow waist/narrow hip type(F3) and narrow waist/wide hip type(F4) and the sides of the lower body were divided into four sections: average abdomen/average hip type(S1), flat abdomen/average hip type(S2), average abdomen/protrude hip type(S3)and round abdomen/flat hip type(S4), and thus total 16 lower body types were created by cross analysis. Besides, discriminant analysis suggested the boundary points for each shape type of the front and sides of the lower body as a criterion for deciding lower body shape type of each subject

• Journal of the Korea Fashion and Costume Design Association
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• v.23 no.2
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• pp.133-146
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• 2021

It is important to conduct an anthropometric study to develop garment patterns to accommodate the changes found in the body size and type of men in their 30s, to effectively address fit dissatisfaction. Thus, this study aims to explore changes in the lower body sizes and body types of men in their 30s, and provide basic measurements for designing pants patterns. For this purpose, key anthropometric dimensions for the lower body of men in their 30s, which were acquired by the 6th (2010) and 7th (2015) survey conducted by Size Korea, were analyzed using SPSS 24.0 for Windows. Independent sample t-tests were conducted on major lower body sizes to track changes over time. Factor and cluster analyses were used to classify lower body types. From the comparison of the 6th (2010) and 7th (2015) surveys, it was found that the overall lower body size of men in their 30s were increasing in the height-related aspects, circumference, thickness, and width-as well as body weight and BMI. The five factors were derived to determine the typical lower body types of men in their 30s and the body types were classified into three categories through cluster analysis: (1) those with the largest body size, body volume, and obesity, (2) those with smallest body size, lower body volume, and obesity degree, visually the most skinny type, (3) those with BMI and weight that are the smallest, like Type 2, but the main circumference of the lower body is lower. In order to visually look at the statistical analysis, results were presented by producing a avatar based on the main lower body values.

• Fashion & Textile Research Journal
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• v.18 no.1
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• pp.91-102
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• 2016

This study classified the lower body types of female adults aged 18 to 69. The lower body was divided into front, lateral front, and lateral back. In order to understand the shape and somatotype of each segment, 592 people were analyzed based on girth, height, length, depth, width, angle and cross section distance for each segment. For data analysis, SPSS 18.0 was performed for descriptive statics, principal component analysis, K-means cluster analysis, ANOVA, and Duncan's test (as verification). Factor analysis was performed based on index values, calculation values, angles, and cross section distances. The measured items resulted in a.) 16 items were extracted to 5 factors in the case of the front factor (FF) of the lower body, and b.) 24 items were extracted to 6 factors in the case of lateral front factor (LFF) and lateral back factor (LBF). Each factor was put through K-means cluster analysis, classifying the lower bodies into one of four types of based on the front type (FT), the lateral front type (LFT), and the lateral back type (LBT) respectively. This study proposed an understanding of various lower body shapes by segmenting and classifying the lower body shapes for each type.

• Journal of the Korean Society of Clothing and Textiles
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• v.23 no.6
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• pp.886-897
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• 1999

Fitness of clothes becomes a major concern in apparel industry. But girls had difficulties to buy ready-made clothes of good fit. To solve this problem it is necessary to classify girls' lower body Into several kinds of somatotypes and to develop dress form. The purposes of this study was to classify lower body types of middle-high school an provide the dress forms based on the analysis of their lower body types. The subjects for anthropometric measurement were 402 middle-high school girls of 13 to 15 year-old. The result of factor analysis indicated that 5 factors were extracted from anthropometric measurments through factor analysis and those factors comprise 71% of total variance. 4 clusters were categorized using 5 factor scores by cluster analysis 4 lower body dress forms for middle-high school girls were made of gypsum mould. By the analysis of more photograph three dimensional characteristics of somatotype and overlapped cross-section diagrams were analyzed.