• Journal of the Korean Society of Costume
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• v.51 no.3
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• pp.5-18
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• 2001

The purpose of this study is to suggest size specifications for the development of mastectomy bras and breast prostheses. To collect anthropometric data, 250 middle aged women's body measurement were taken and the data were analyzed by statistical methods such as ANOVA, correlation analysis, factor analysis and cluster analysis. The results of the analysis of measurement data showed that lengths. breadths, depths, circumferences are increased significantly when getting older. The results of the correlation analysis showed that there was no direct linear relationship between chest circumference and cup size. From 29 measurements, 4 factors were selected as key factors by the tractor analysis and the breast type were classified into 2 groups by cluster analysis. To set up sizing systems for the mastectomy brassiere, chest circumference and cup size were selected and the loss function was used to decide Intervals of each of them. 6 sizes from chest circumference and 4 sizes from cup sizes were picked, Breast breadth, breast length and breast height were chosen to establish sizing systems for the breast prosthesis. To decide intervals of each of them, the loss function was used and 8 sizes from composition of the 3 factors were picked.

• Proceedings of the ESK Conference
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• 1995.10a
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• pp.249-267
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• 1995

The purpose of this study is to analyze breast shape by age, to classify breast types and then to suggest brassiere size chart. The subject of anthropometric measurement were 232 women in 20's and 40's. The direct anthropmetric measurement were analyzed by mean, standard deviation, duncan test, T-test, ANOVA, factor & cluster analysis The results are as follows; 1) as a result of analysis for the measurements, according to the increase of age, the items of height were decreased and the items of width, depth, cir- cumference, length were increased, being obesity and breast points were dropped. So the volume and bottom area of 40's women's breast were lager than 20's women's. The width of breast points was bide by increasing of intereior. 2) as a result of factor analyxis, 5 factors were extracted as important factor of breast shapes(obesity of breast and location of breast point, breast height and volume, upper dimensions of breast/lower dimensions of breast, interior dimensions of breast/exterior dimensions of breast, volume of the lower part and drop of breast) 3) as a reslut of cluster analysis, the breast shape were classified into 4 types. namely, typel has the smallest volume, bottom area of breast and the slenderest breast, type2 was the second obesity type. type3 was middle sized type. type4 has much dropped, wide bottom area of breast and the biggest form. 4) To establish brassiere sizing system, the loss funtion was used to decide interval of under bust girth and cup size of size chart. 20 brassiere sizes were established and the size chart covers 92.2% of all subject.

• Korean Journal of Human Ecology
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• v.10 no.1
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• pp.73-82
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• 2001

The aim of this study is to provide the basic data for clothing construction of pre-school children by the result of the analyses and classifications of children's upper body somatotypes. The objects of this study are the bodies of 220 male pre-school children from 3 to 6 years old. The method of anthropometric measurement is the direct and photographic measurement. After analysing the measurements, 7 factors were extracted and the factors were applied to the cluster analysis. As the results, the 4 types were classified. Type 1 was characterized by the shortest and normal body one among these four types. This type showed the forward-curved back, the projected abdomen, and the fallen shoulders. Type 2 was characterized by the normal height and the fattest body type. Type 3 was characterized by the slimmest body and the shorter height type. Type 4 was characterized by the tallest and normal body with the rising shoulders.

• Korean Journal of Human Ecology
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• v.12 no.5
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• pp.787-795
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• 2003

This research studied several somatotypes for children's upper bodies in order to suggest the basic data of bodice patterns of children's clothing. By extracting the component factors from the children's bodices, they were classified into several somatotypes to recognize an individual body type. Three hundred and fifty eight children's wears were estimated as research objects to analyze their somatotypes for the 44 items representing upper bodies through anthropometric measurement and photometric measurement. The results are as follows : 1. Seven factors were extracted as a result of factor analysis. 2. Data were classified into three types as a result of cluster analysis : Type 1 was characterized as low fat body, small skeleton size, and forward belly ; type 2 as high fat body, normal hight, backward shoulder, and the lowered shoulders ; type 3 as medium fat body, tall height, somewhat crouching back, and the rising shoulders. 3. As a results of the discrimination analysis for the three types, the highly discriminated items were height, width of bosom, front center length. weight, width of waist or the length of waist. One could discriminate one's own body type by obtaining the classification function from these five items.

• Journal of the Korean Society of Clothing and Textiles
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• v.27 no.7
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• pp.758-769
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• 2003

In this research, I classified adult women's back types through anthropometric measurement and photographic measurement to present a judging individual body size according to the type. Also, Ⅰ calculated regression fomula by types and presented the basic bodice pattern. The results were as follows: 1. The result of factor analysis indicated that 5 factors were extracted and those factors comprised 75.89% of total variance. 2. According to the cluster analysis, Ⅰclassified the back types into 6 types. Type 1 was passive posture in the upper and the lower parts of the back. Type 2 was active posture in the upper and the lower parts of the back. Type 3 had the lowest protrusion of the back. Type 4 had the upper part of the back which is mostly bent downward. Type 5 was the most suitable shape. Type 6 had the lower part of the back which was turned over the most. 3. Ⅰconducted a discriminant analysis to judge the body types of individuals. 4. For the calculation of measurements necessary for the basic bodice pattern, Ⅰpresented regression formulas by each type. 5. By conducting the wearing experiments, Ⅰsuccessfully made the final basic bodice patterns by types. As a result of comparative experiments between the basic bodice patterns and comparison bodice pattern, the suitability of basic bodice patterns were more highly assessed.

• Journal of the Korea Society of Computer and Information
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• v.25 no.5
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• pp.137-146
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• 2020

The manual measurements of 182 unmarried women subjects in their 20s was classified 4-breast types. For the breast type classification, 4 factors were identified, such as overall breast factor, upper breast internal shape factor, breast volume factor, and lower breast external shape factor. The breast shapes were 'breast with well-grown upper part', 'flat breast', 'breast with well-grown lower part', and 'protruded breast'. The breast types can be differentiated in 10 items of actual anthropometric dimension the length between frontal neck point and nipple point, length between lateral neck point and nipple point, length between the breast inner points, nipple to nipple breadth, diameter below the breast, inner depth of breast, outer length of breast, length below the breast, length between breast outer point and upper breast point, and contour line length below the breast.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.2
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• pp.367-378
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• 2005

The purpose of this study was to analyse craniofacial shape by 3D scanner for female adults with age groups. In this study, heads of 452 female adults were measured by 3D scanner. The obtained 25 measurements were analyzed by statistical methods. The results can be summarized as follows; 1. From the basic statistical data analysis, vertex-tragion and the length between the pupils were the longest in their twenties, and grew shorter in elderly groups. The length of nasion-subnasale and the width of mouth increased with an increased in age. 2. According to the analysis of the craniofacial proportions, the head type of female aduls was short-headed. The size of lower face increased with an increase in age. 3. The statistically noticeable differences were found in the measurement of the left and the right sides of face in the age groups of 20, 30, and 40. 4. High correlations were found in two perpendicular lengths, two horizontal lengths and two widths. 5. The order of factor analysis was as follows; the horizontal length, the perpendicular length and the width from highest.

• Journal of Fashion Business
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• v.27 no.4
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• pp.21-37
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• 2023

This study aimed to classify the hand types of adult males aged 20 to 69 years using three-dimensional measurement data from the 2020 8th Korean Anthropometric Survey, the latest measurement data from the National Institute of Standards and Technology Size Korea, and explore the characteristics of each type. Through this, I aimed to draw implications for the development of work gloves. The factors that make up an adult male's hand were categorized into hand and finger thickness factors, palm length factors, and finger length factors. Adult male hands were categorized into four types: small, thin hands and long fingers; thick, long fingers; medium, short hands and fingers; and large, thin, short fingers. The analysis showed that the younger the age, the more slender and long the hands and fingers, and as age increased, hands and fingers became shorter and thicker. Implications for the development of work gloves included the need for size segmentation based on the age of the work glove user, changes in the way glove dimensions are set based on hand length and hand circumference, and the need to segment gloves by the type of work. Hand typing in future research should be done according to occupational groups, and glove patterns should be developed for each type of work based on the results of this study.

• 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 Biomedical Engineering Research
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• v.41 no.3
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• pp.121-127
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• 2020

The purpose of this paper is to review the validation on the application of low frequency IMU(Inertial Measurement Unit) sensors by replacing high frequency motion analysis systems. Using an infrared-based 3D motion analysis system and IMU sensors (22 Hz) simultaneously, the gait cycle and knee flexion angle were measured. And the accuracy of each gait parameter was compared according to the statistical analysis method. The Bland-Altman plot analysis method was used to verify whether proper accuracy can be obtained when extracting gait parameters with low frequency sensors. As a result of the study, the use of the new gait assessment system was able to identify adequate accuracy in the measurement of cadence and stance phase. In addition, if the number of gait cycles is increased and the results of body anthropometric measurements are reflected in the gait analysis algorithm, is expected to improve accuracy in step length, walking speed, and range of motion measurements. The suggested gait assessment system is expected to make gait analysis more convenient. Furthermore, it will provide patients more accurate assessment and customized rehabilitation program through the quantitative data driven results.