• Journal of the Korean Society of Clothing and Textiles
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• v.22 no.2
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• pp.203-214
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• 1998

The purpose of this study is to classify the upper body of women into several kinds of somatotypes, using the method of Surgical Tape and making their shells. The subjects are 53 females 30 to 39 years-old. Fifty-three anthropometric data are measured per shell of bodysurface; six somatotype factors are obtained through principal component analysis and orthogonal rotation by the method of Varimax, Somatotype of women's upper body is achieved by cluster analysis, using the standardized factor score as an independent variable and the FASTCLUS of SAS by Kmeans. The results are as follows: 1. The number of the factors which explain the somatotype is six and those factors comprise 76.12 percent of total variance. Factor 1: related to the size of shape in the front of upper body Factor S: related to the size of shape in the back of upper body Factor 3: related to the type of the upper chest over the chest circumference line Factor 4: related to the length of·the upper body Factor 5: related to the part of the neck Factor 6: related to the type of the lower chest under the chest circumference line 2. Cluster analysis results in classification of upper body into five clusters. Cluster L: the length is the largest and the circumference is small. The part of waist is the largest and widest among surface areas. Cluster 2: Slender body line from chest to waist is characteristic. The length is longer. The part of upper and lower chest is larger among surface areas. Cluster S: the circumference is the smallest and armhole is small. The length and surface area are small. Cluster 4: the circumference and armhole is the largest. The length is the smallest. Cluster 5: the circumference is average and the length is a little long. The body line(silhouette) from chest to waist is curved slightly.

• Journal of the Korean Society of Clothing and Textiles
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• v.20 no.1
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• pp.170-182
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• 1996

The purpose of this study is to classify the upper body of women into several kind.; of somatotypes, using the method of Surgical Tape and making their shells. The subjects are 50 females 20 to 29 years-old. Fifty-one anthropometric data are measured per shell of body surface : eight somatotype factors are obtained through principal component analysis and orthogonal rotation by the method of Varimax, Somatotype of women's upper body is achieved by cluster analysis, using the standardized factor score a.: an independent variable and the FASTCLUS of SAS by Kmeans. The results are as follows : 1. The number of the factors which explain the somatotype is eight and these factors comprise 81.63 percent of total variance. Factor 1 related to the degree of fatness in the front of upper body Factor 2 related to the degree of fatness in the back of upper body Factor 3 . related to the length of the upper body Factor 4 : related to the type of the upper chest over the chest circmference line Factor 5 : related to the armhole and neck Factor 6 : related to the type of lower chest under the chest circumference line Factor 7: related to the part of the back shoulder Factor 8: related to the depth of front neck and side dart of front independently 2. Cluster analysis results in classification of upper body into five clusters. Cluster 1 : the of circumference i.: lager and that of length is longer than the average The louver part of chest is the lagest and widest among surface areas. Cluster 2 : the circumference is the smallest , the length and surface area are small. The upper and lower chest is small Cluster 3 : the length and surface area are the smallest , the circumference is average. The body line (silhouette) from chest to waist is curved slightly.

• Journal of the Korean Society of Costume
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• v.54 no.8
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• pp.1-14
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• 2004

The aim of this study is to provide fundamental data on the development of ready-to-wear clothing appropriate for the lower body types of male students who play sports in college. The study was conducted by means of targeting 151 male sports majors between $18{\sim}27$ years of age. Characteristics of the respondents were ascertained by means of questionnaires and an evaluation of a total of 36 lower body features. The results of the study are as follows. 1. A comparison of anthropometric measurements with the National Anthropometric Survey of Korea (1997) revealed that the main characteristics of the lower somatotypes of male sports college students are large circumferences and developed muscles of the lower body. 2. Sports were classified into the following five categories : soccer, bodybuilding, wrestling, judo, and taekwondo. In particular, bodybuilding students demonstrated a somatotype with an increased circumference, depth, and width of the thigh and lower body. 3. Somatotypes were classified into 3 types by means of a cluster analysis employing S factors. Type 1 somatotype exhibits a large circumference in the lower body. Type 2 is a lower somatotype of a middle size. Finally, Type 3 encompasses a smaller group in weight and circumference with a developed calf and ankle. 4. Each group was evaluated using a discriminatory analysis as a check to see if the groups had been discriminated with accuracy. The total accuracy rate was 96.0%.

• The Research Journal of the Costume Culture
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• v.7 no.3
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• pp.122-133
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• 1999

The purpose of this study was to classify the somatotype on obese boys of 9 to 11 years old and to make an offer the basis which would be suitable for basic pattern construction by studying of their characteristics, forms and shapes. For this study, data were analyzed by using of photographic measurements in regard to 40 variables. The factor scores used in factor analysis become the basis of determining the value of each variable of the cluster analysis. 1) Eight main factors were extracted from factor analysis. 2) Three types were classified by cluster analysis. 3) Correspondent analysis was applied to data of 4 types in anthropometry between 3 types in photometry.

• Journal of the Korean Home Economics Association
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• v.30 no.3
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• pp.56-62
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• 1992

The purpose of this study was to characterize the somatotype of children and to provide fundamental data for the construction of the dress figure. The subjects for anthropometric measurements were 384 elementary school children aged from 6 to 7 living in Seoul and Pucheon. The data were analyzed statistically according to SPSS/PC ＋ version 3.1. Through the factor analysis, six factors were obtained. The six factors represented the body girth and weight, the height and sleeve length, the trunk length, the shoulder size, the body curvature, and the posture of upper torso, respectively. The subjects were classified into six clusters. Among the six clusters, four clusters covered about 95.9% of the whole subjects were determined as the sources of fundamental data for the children's dress figure.

• Fashion & Textile Research Journal
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• v.19 no.6
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• pp.804-812
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• 2017

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.

• Journal of the Korean Society of Clothing and Textiles
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• v.25 no.4
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• pp.795-806
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• 2001

This study is to classify the somatotypes of middle-aged women by many critera and figure out he characteristics of each somatotypes. The subjects are 614 middle-aged women between 35 and 59 years old and the research is based on anthropometric and photometric measurement by photographing their body parts. The results are as follows; 1. The result of factor analysis indicated that 11 factors were extracted through factor analysis and orthogonal rotation by the method of varimax and those factors comprised 85.71 percent of total variance. 2. As the result of cluster analysis the group of the middle-aged women is classified as 6 types. Type 1 is short, fat, H type in front and lean-back type on the side. Type 2 is standard in height and weight. Type 3 is standard height, fat, long upper body, bend-forward type and protrude of the hip on the side. Type 4 is tall, thin, short upper body, having clearly protrude of the back and hip and lean-back type on the side. Type 5 is neither short nor tall, slim, X type in front and I type on the side. Type 6 is tall, thin and B type on the side. 3. As the result of observing the mutual corresponding relation between these 6 groups and age/Rohrers Index, the somatotype of the middle-aged women is divided at the age of 45. Accordingly when it comes to progress the study of the middle-aged women in the future, we will have to observe the characteristics for dividing the first half and the second half of age of 45.

• Korean Journal of Human Ecology
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• v.8 no.2
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• pp.313-325
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• 1999

This study aimed to classify the data of children's bodies into several clusters by principal component scores that were extracted through the factor analysis in the former study, and to describe the distribution and body characteristics of the clusters. The sample was 308 elementary school children aged from 6 to 8 and the anthropometric measurements were performed indirectly from the photographs of the subjects, which was the same as the first analysis. The data were analysed statistically using SPSSWIN Ver. 8.0. Through the statistical analysis, 3 clusters were obtained from the data. The first cluster distributed more in the children aged 7 and 8 than in the children aged 6. The somatotype of this group was the tallest among the three groups, and they were the most developed group compared to the two other groups in lateral component as well as in linear component. The second cluster group wasn't well developed in lateral components, and had lowest level in Rohrer Index, so this group had thin figures compared to the other groups. The third cluster revealed dominant distribution in the group aged 6, and the group had the least developed linear components but higher level in Rohrer Index. Each cluster group revealed peculiar somatotype that was dominant in one group but rarely in other cluster groups. Lateral views of these characteristics were showed using the average of the measurements of clusters.

• Fashion & Textile Research Journal
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• v.21 no.5
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• pp.627-639
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• 2019

This study analyzes differences between the results of 3D direct measurements and automated measurements for Korean elderly females according to age groups, side somatotype, and BMI groups. This study compares the measurement differences of the direct and the 3D automated measurements for women between the ages of 70 to 85, according to age group, BMI group, and side somatotype. A comparison of the results of the direct measurement and the 3D automated measurements for elderly women show that a meaningful discrepancy exists for 29 items out of 33 items. Furthermore, the results of comparing the average error tolerance recommended by ISO20685 shows that 30 items out of 33 items exceeded ISO recommendations. The results of the automated measurement program shows a higher degree of accuracy for straight postures; however, this unsuitable for postures of elderly women with a changed somatotype. The analysis results of the measurement difference indicate the suitability of the automatic measurement programs is found to be high for stood postures, while problems seem to exist on several items along with an automated program is not appropriately used due to posture and part of body changes for elderly women. Therefore, it is recommended to develop an algorithm, that reflects the body changes of elderly women first and then upgrade the automated program equipped with a measurement size method. It is hoped that the study results can be utilized as base data for improving the automated measurement program.

• Fashion & Textile Research Journal
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• v.4 no.2
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• pp.156-162
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• 2002

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.