• Fashion & Textile Research Journal
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• v.8 no.1
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• pp.107-112
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• 2006

This study is done to classify the upper body shapes for late elementary schoolgirls. The sampling was done for 11~12 years-old-girls resident in Busan and Kyungnam. Based on the somatometric charateristics of them, 33 anthropometic and 7 photogrphic measurment data were acquired from every girl. These data are statistically analyzed with the following methods; Factor Analysis, Cluster Analysis, and Discriminant Analysis. Resulting from the factor analysis, it is shown that 79.95% of the whole variances can be explained with 8 factors. Through the cluster analysis, 3 types of upper body shapes can be categorized as follows: Type I has average horizontal size, big vertical size and lots of protruded chest ; Type III has big horizontal size, the mean vertical size, and big upper angle of the back ; Type II has small horizontal and vertical size and long surface length of the upper body. Through the discriminant analysis, the high discriminative items in discriminant function are follows: Upper chest circumference, arm length and waist front length of discriminant function I and waist depth, front length, back breadth, nipple to nipple breadth and upper chest circumference of discriminant function II have large coefficient values.

• Journal of the Korean Society of Costume
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• v.63 no.1
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• pp.97-107
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• 2013

To give satisfaction with the fit to a wearer, the wearer's body size and body types should be considered first, this study conducted the descriptive statistical analysis on the upper body measurements of women in their 20s because their body shape has reached the completion stage of adult female's physical development. Also, the analysis classified their upper body types into groups to secure basic data for (maximum satisfaction with the fit of ready-to-wear clothing. The factor analysis was conducted using 49 items of measurement. The main factor analysis was used as a factor extraction method. After extracting the factors with Eigenevalues over 1, the factor loadings were drawn using the Varimax rotation. As a result, 6 factors were extracted. To secure internal consistency, factors that could lower the reliability of the experiment were taken out, so only 36 of the 49 items were used for the analysis. After selecting the items to recognize the main features of each body type, they were used for the final factor analysis. The entire R square of the 6 factors was 84.06%. To classify the upper body types of women in their 20s and to recognize the main features of each body shape type, the researcher conducted the cluster analysis with the items generated from the factor analysis. Through the cluster analysis, the upper body type of women in their 20s were classified into 3 body types. Also, since there are some restrictions on this research objects in terms of local and numbers of measured objects, the results of the this research should only be used as basic data.

• The International Journal of Costume Culture
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• v.2 no.1
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• pp.43-53
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• 1999

The research analyzs characteristics of body types for the Chineses women based on the different life style and to compare the differences of body type with Korean women. The measurement had took in Beijing and Seoul in 1999. As a result of comparing Chinese and Korean women'body measurements, it was found that Chinese women are shorter and obser than Korean women. Besides, chinese arms and upper body are shorter, and their body is thicker compared with their relatively flat chest. After all, Cheinese women'chests are more voluminous, while their shoulders are drooped more, although their shoulder size is almost as same as Korean women'. By used factor analysis, 8 factors were extracted from body measurements : body obesity, vertical body size, ankle and knee sizes, head size, front upper body length, shoulder size, form and size of neck and upper chest, drooping of shoulders, and size of hip. It was found that Chinese college women are obser with larger vertical body length and front upper body length. And their shoulders are more drooped with larger hip. But two nations'female students did not show any differences in the sizes of ankles, knees, head and shoulders.

• Journal of the Korean Society of Clothing and Textiles
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• v.20 no.5
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• pp.852-859
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• 1996

The factors and mechanism of arm surface changes were analyzed by regression analysis for the relationship between changes in arm joint angle and arm surface changes, according to the direction of upper extremity motion. Body surface change patterns among subjects were tested also. Experiments were carried out on 3 female subjects of different body types to examine 26 motions in 4 directions for 4 upper extremity parts. The major conclusions of the study are as follows: 1. The expansion or contraction of arm surface length depends on the direction of upper extremity motion. 2. Arm surface length changes by linear expansion or contraction according to the joint angle of the direction of motion. The mechanism of arm surface changes is represented by a linear relation between arm surface changes and the (actors of the direction of upper extremity motion and arm joint angle. 3. Arm surface length shows the same pattern of body surface changes regardless of body type. A quantitative model of body surface changes at upper extremity should be developed for functional sleeve design.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.3
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• pp.103-117
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• 2023

This study focuses on the behavioural lexical classification for extracting animation character actions and the analysis of the character's upper and lower body movements. The behaviour and state of characters in the animation industry are crucial, and digital technology is enhancing the industry's value. However, research on animation motion application technology and behavioural lexical classification is still lacking. Therefore, this study aims to classify the predicates enabling animation motion, differentiate the upper and lower body movements of characters, and apply the behavioural lexicon's motion data. The necessity of this research lies in the potential contributions of advanced character motion technology to various industrial fields, and the use of the behavioural lexicon to elucidate and repurpose character motion. The research method applies a grammatical, behavioural, and semantic predicate classification and behavioural motion analysis based on the character's upper and lower body movements.

• Fashion & Textile Research Journal
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• v.15 no.1
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• pp.130-137
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• 2013

The percentage of overweight people has increased in older people due to the change of body shape (including pregnancy and giving birth for women). Obesity is accompanied by body shape changes; subsequently, there are more pattern design considerations compared to standard body shapes. This paper classifies the upper body shape of overweight women in Korea, analyzes features by body shape and proposes basic pattern design data that reflects the features of plus-size women body shapes. The data on 540 subjects in the overweight group (from 20 to 69 years old)whose BMI was over 25 was selected. The following features by shape were identified in accordance with the upper body shape classification of overweight women. Body Shape1 had lower body obesity with long stature and arms in proportion to the trunk length and represented 22.2% of the subjects. Body Shape2 had most parts near average sizes for overweight body shapes with short height and arms that represented 37.6% of the subjects (the highest ratio). Body Shape3 was the smallest body shape in the four groups with the most distinct body figure and represented 30.7% of the subjects. Body Shape4 (9.4% of the subjects)was the upper body obesity type (the fattest group)and with of the waist bigger abdominal obesity type.

• Fashion & Textile Research Journal
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• v.22 no.4
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• pp.469-480
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• 2020

The study investigated the effects of SNS usage on 20s and 30s female SNS users' internalization of thin body, body surveillance, appearance upper comparison, body dissatisfaction and eating disorders based on objectification theory and social comparison theory. The study examined differences on SNS usage and body image variables between high and low groups of SNS envy and self-compassion. Social Network Service (SNS) is used as a contemporary marketing tool for brands and companies. It also influences the body image of female SNS users. The survey used an online survey company for female SNS users in their 20s and 30s to analyze the effect of SNS usage. The results showed that SNS usage significantly impacted the internalization of a thin body, body surveillance and appearance upper comparison. The internalization of thin body also had a significant impact on body surveillance and appearance upper comparison. Appearance upper comparison positively affected body dissatisfaction and eating disorders. Finally, the group with higher SNS envy showed higher SNS usage, internalization of thin body, body surveillance, appearance upper comparison, body dissatisfaction and eating disorders. The group with higher self-compassion showed opposite results. This study provided a theoretical expansion for a SNS and female body image study with objectification theory and social comparison theory. It also suggests positive SNS marketing strategies use for brands. Lastly, this study emphasized the importance of the proper use of SNS to protect the body image of SNS users.

• Journal of the Korean Society of Clothing and Textiles
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• v.24 no.6
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• pp.850-860
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• 2000

The purposes of this study was to provide the fundamental data for children's wear standardizing sizes of ready-made clothes by analyzing the elementary school girls’somatotype. The subjects for anthropometic measurements were 434 elementary school girls’by age groups < ‘(1st age(1ㆍ2 grade)’,‘2nd age(3ㆍ4 grade)’, and 3rd(5ㆍ6 grade)’ > living in Pusan. According to the analysis of upper bodies by the age groups 1. According to the analysis to draw somatometric factors by the age groups, sevenㆍseven and six actors in 1st . End and 3rd age groups are obtained from measurements of upper body. 2. The 1st & 2nd age groups: As the result of factor analysis for the factor, the first and second factors which explain more than 70% of the whole variance represent“horizontal size”and“vertical size”, which characterize more aspects of the body shape of girls at elementary school ages. 3. The 3rd age groups: As the result of factor analysis for the factor, 6 factor which explain 74.39% of variance were extracted form anthropometic data. The first factor represented the items of circumference, breadth and depth related to“sectional size the front length of the upper body”, The second factor described the items of "heights & the back length of the upper body”.

• The KIPS Transactions:PartB
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• v.18B no.1
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• pp.11-20
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• 2011

Pictorial Structures is known as an effective method that recognizes and tracks human poses. In this paper, the upper body pose is also tracked by PS and a particle filter(PF). PF is one of dynamic programming methods. But Markov chain-based dynamic motion model which is used in dynamic programming methods such as PF, couldn't predict effectively the highly articulated upper body motions. Therefore PF often fails to track upper body pose. In this paper we propose the key pose-based proposal distribution for proper particle prediction based on the similarities between key poses and an upper body silhouette. In the experimental results we confirmed our 70.51% improved performance comparing with a conventional method.

• Journal of the Korea Fashion and Costume Design Association
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• v.20 no.2
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• pp.73-87
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• 2018

As men in their 30s are spending more money on clothing, it is becoming increasingly important to first conduct an anthropometric study and then develop garment patterns accommodating the changes found in body sizes and types of men in their 30s, in order to effectively address their fit dissatisfaction. Thus this study aims to explore changes in upper body sizes and body types of men in their 30s, which provide basic measurements for designing major garment items including jackets and shirts. To this purpose, key anthropometric dimensions of the upper body of men in their 30s, taken from the 6th (2015) and 7th (2016) surveys conducted by Size Korea, were analyzed using SPSS 24.0 for Windows. Independent sample t-tests were conducted on major upper body sizes to track changes with measuring time. Factor and cluster analyses were used to classify body types. By comparing the two surveys, it was found that the overall body sizes of men in their 30s were increasing in height-related items, circumference, thickness, and width, -as well as body weight and BMIs. Upper body height-related items, in particular, showed a higher average value in the 6th survey than in the 7th, indicating that the overall body types of men are becoming "westernized" with longer legs and shorter torso. Finally, five factors were derived to determine the typical upper body types of men in their 30s and the body types were classified into three categories according to the cluster analysis. First, those with a relatively small build with short stature and torso. Second, those with the highest stature and vertical dimension with the smallest torso volume and least body fatness. Third, those with the biggest torso volume and most body fatness with bigger width between armpits and shoulders. The distributional pattern analysis showed that men in their 30s tend to have increasingly higher stature but lower body weight and BMIs than in the past, implying that their body types are becoming close to those of men in their 20s.