• Title/Summary/Keyword: Body Type Analysis

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A Study on Elementary School Girls' Lower Body Type Analysis (학령후기 여아의 하반신 체형분석에 관한 연구)

  • 석은영;김혜경
    • 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.

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Comparison of somatotypes from various classification methods - Between 18 and 24 years old Korean Women - (체형분류 방법에 따른 체형 유형 간 비교 - 18~24세 여성을 대상으로 -)

  • Lee, Jeong-Yim;Nam, Yun-Ja
    • Fashion & Textile Research Journal
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    • v.6 no.2
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    • pp.221-228
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    • 2004
  • The purpose of this study was to compare somatotypes from various classification methods, to analyze the interrelation among each somatotype or each high frequency type, and to suggest the basis to interpret body size and shape more accurately. As a sample, the subjects were 97 Korean females between 18 and 24 years old. They were measured both anthropometric and photographic measuring in November, 1999. Their somatotypes were classified by three kinds of classification methods. The first method was based on the lateral view of body, the second involved Factor and Cluster analysis with the photographic measurements of anterior and lateral body, and the third involved Factor and Cluster analysis with the anthropometric measurements of whole body. The upper body was classified into three types, and the lower body was classified into 6 types from the lateral view of body. The bend-forward/q-2 was found to be the 'High-frequency type from the lateral view of body', and the Straight/n-1 was found to be the 'Straight type from the lateral view of body'. From the classification by the analysis of photographic measurements, the anterior body was classified into three types, the lateral was classified into 4 types. The X/${\varepsilon}$ type was found to be the 'High-frequency type from the analysis of photographic measurements of anterior and lateral body'. From the classification by the analysis of anthropometric measurements, the whole body was classified into three types. The i type was found to be the 'High-frequency type from the analysis of anthropometric measurements of whole body'. The significant interrelation was certified among some somatotypes or some High-frequency types. We found that both the view of body and the statistical analysis would make the clear definition of each somatotype possible. In order to certify the representativeness of High-frequency type, further analysis would be required of subjects who were in the High-frequency type and their body parts were in the High-frequency range.

Whole Body Shape Analysis for Virtual Human Body Modeling - Focusing on obese women in their 20s and 30s - (가상 인체 모델링을 위한 전신 체형 연구 - 20-30대 비만여성을 중심으로 -)

  • Eun-Hee Hong;Yoon Ji Won
    • Journal of the Korea Fashion and Costume Design Association
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    • v.25 no.4
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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.

Classification of adult male torso shapes using 3D body scan data (3D 스캔 데이터에 의한 성인 남성의 체간부 형태 유형화)

  • Hong, Eun-Hee
    • Journal of the Korea Fashion and Costume Design Association
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    • v.21 no.4
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    • pp.165-179
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    • 2019
  • This study used 3D body scan data to classify body shapes according to the torso shape of adult males aged 20-75 years. This data will be provided so that the apparel industry can make apparel products corresponding to body characteristics by age. The study used 1,796 adult males between the ages of 20 and 75 and the 3D body shape data of the '5th Research on National Standard Anthropometry'. For data analysis, the program SPSSWIN Ver. 17.0 was used to calculate the mean and frequency allowing for a factor analysis, cluster analysis, analysis of variance, and Duncan test. To classify body shape according to the torso shape of adult males, this study considered nine factors: 'horizontal size of torso,' 'vertical size of body,' 'curve of torso and waist-abdomen flatness ratio,' 'length of torso,' 'shape of neck area,' 'degree of lateral curve,' 'difference between front and back interscye length,' 'shoulder armscye shape,' and 'chest flatness ratio.' Based on the results of the factor analysis, the torso shapes of adult males were classified into five types. Type 1 is "upright body with flat, curvy shape", Type 2 is "curve sway back body type", Type 3 is "flat, abdominally obese body", Type 4 is "obese, crooked body" and Type 5 is "thick sway front body type." named.

Analysis of female student's body shape of the late adolescent (청소년 후기 여학생의 체형 유형화 분석)

  • Jeon, Seong-Yeon;Cha, Su-Joung
    • The Research Journal of the Costume Culture
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    • v.26 no.1
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    • pp.95-108
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    • 2018
  • This study analyzed the body shape of the body of 17~19 years old female students using the SPSS 20.0 statistical program according to the 7th Korea Human Body Survey. Factor analysis was based on six factors including body size, body height, shoulder length, and width, upper body length, hip length, and shoulder inclination related factors. Through this cluster analysis, the body shape of late adolescent female student was classified into four types. Body type 1 was the highest body height factor, and the upper body length and the hip length factor were lower. It was analyzed as 'Long leg in the body'. Body type 2 is the 'narrow shoulder skinny type' with high hip and shoulder slope factors and low body size, body height, shoulder length, and width factor. Body type 3 showed body size, shoulder length, height and hip length factor, and body height factor was rather low 'low hip obese body shape'. Body type 4 was analyzed as 'lower shoulder long upper body type' with higher upper body length factor and lower body size and shoulder slope factor. It is thought that when the pattern is made, it is possible to produce excellent patterns by fitting the dimensions of the body, as well as the dimensions of the shoulder width, the slope, and the hip length.

A Study on Lower Body Shapes from Classification of Middle Aged Men's (중년 남성의 하반신 체형분류에 관한 연구)

  • 성옥진
    • Journal of the Korean Society of Clothing and Textiles
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    • v.28 no.3_4
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    • pp.499-508
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    • 2004
  • The purpose of this research is to define body characteristics of middle-aged men at ages between 35 and 55 whose physical changes are very prominent, by comparing the measurement data collected from this age group. This research also classifies different body types, and provides basic data for designing slacks' original forms according to each body type. Based on factor analysis of the measured data, seven key factors are grouped. And five different body types are classified based on the cluster analysis using factor marks. Type 1 refers to those who are tall and standard. This body type is characterized by trapezoid body shape when looked from the front, and slim abdomen when looked from the side. Type 2 refers to short and a little fat body shapes, with trapezoid front and protruding hip and abdomen. Type 3 refers to tall and fat body shapes, with rectangular front, protruding abdomen, and slim hip. Type 4 refers to those who are of medium height and a little obese, with rectangular front and protruding abdomen and hip. Type 5 refers to short and obese body shapes, with rectangular front, slim abdomen, and protruding hip. 12 items are available to judge middle-aged men's low body types and the hit ratio is 90%.

Classification of Lower Body Types of Female Adults aged 18 to 69 based on 3D Body Scan Data - Focusing on the Front Type, Lateral-Front Type, and Lateral-Back Type -

  • Kim, Min Kyoung;Nam, Yun Ja
    • 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.

Analysis of the 50s and 60s Middle-Aged Men's Upper Body Type - Using on the 8th Size Korea's Direct Measurement Data - (50-60대 중장년 남성의 상반신 체형 분석 - 사이즈 코리아 제 8차 직접측정자료를 중심으로 -)

  • Jin Hee Lee
    • Journal of the Korea Fashion and Costume Design Association
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    • v.25 no.4
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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.

Body Type Classification and Characteristic Analysis of the Lower Body of 14-16 Years Old Female Adolescents (14~16세 여자 청소년 하반신 체형 유형화 및 특징 분석)

  • Park, Seiyoung;Kim, Dong-Eun
    • 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.

Body-shape characteristics and body types of plus-size men in their 30s and 40s based on Korean anthropometric data (사이즈 코리아 인체 측정 자료에 근거한 30~40대 플러스 사이즈 남성의 체형 특성 및 체형)

  • Lee, Hana
    • The Research Journal of the Costume Culture
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    • v.28 no.5
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    • pp.639-651
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    • 2020
  • This study utilized data to classify and characterize the body types of plus-size adult men aged in their 30s and 40s. Diversity is an important factor in the era of inclusive design, and discussion about size diversity to include the plus size should be accommodated. Data from 493 adult men classified as obese (with a World Health Organization criterion ≥25 BMI) were used for the analysis. The results of the study are as follows. Six independent factors were extracted using factor analysis for cluster analysis, which were then classified into five types. Type 1 (29.01%) was identified as body type I with the smallest degree of obesity. Type 2 (15.4%) was identified as body type Y with wide shoulders and a thin waist. Type 3 (14.2%) was the largest body volume (body type O), while the fourth (19.27%) identified as body type H has a large height and upper body. Lastly, type 5 (22.11%) has a long lower body and a slim abdomen, referred to as body type X. This study presents a basis for the development of various clothing sizes utilizing the body shape characteristics of plus-size men in their 30s and 40s. Follow-up research is needed to develop patterns for plus size men and to design various products.