• 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.

• The Research Journal of the Costume Culture
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• v.17 no.4
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• pp.663-678
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• 2009

The growth of the middle school girls show big difference among the individuals and the development of each area of the body is not uniformed but diverse which could be understood as the period that the problems on the fit of the clothes occur extensively. Therefore, in this study, the somatotype of the middle school girls are intended to be categorized for the highly applicable clothes design. For this, the 3 middle schools in Jeonju were selected for anthropometric measurement of 324 middle schools. The items of measurement are related to the somatotype of middle school girls, clothes design which is consisted of total of 50 items. For the basic data of clothes was judged that the classification of somatotype related to the tops and bottoms would be rational; hence, it is classified into the upper part and lower part of the body to extract the body shape consistent factor. As a result of analyzing the factors, the upper body consistent was extracted as the 4 items: upper body circumference, upper body length, breast growth and arm length. It was displayed as 75.26% explicability. The lower body consistent factors are extracted as lower body height, lower body circumference, hip length, and rear shape with 78.62% explicability. To classify the somatotype of upper body and lower body, each factor score is made into the independent viable for group analysis. As a result, the upper body was classified into the 'upper body with small breast and long' and 'upper body with big breast'. The lower body was categorized as 'lower body with long hip length' and 'standard lower body'.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.230-237
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• 2022

It is difficult to predict industrial accidents in the construction industry because many accident factors, such as human-related factors and environment-related factors, affect the accidents. Many studies have analyzed the severity of injuries and types of accidents; however, there were few studies on the prediction of injured body parts. This study aims to develop a classification model to predict the part of the injured body based on accident-related factors. Construction accident cases from June 2018 to July 2021 provided by the Korea Construction Safety Management Integrated Information were collected through web crawling and then preprocessed. A naïve Bayes classifier, one of the supervised learning algorithms, was employed to construct a classification model of the injured body part, which has four categories: 1) torso, 2) upper extremity, 3) head, and 4) lower extremity. The predictor variables are accident type, type of work, facility type, injury source, and activity type. As a result, the average accuracy for each injured body part was 50.4%. The accuracy of the upper extremity and lower extremity was relatively higher than the cases of the torso and head. Unlike the other classifications, such as spam mail filtering, a naïve Bayes classifier does not provide a good classification performance in construction accidents. The reasons are discussed in the study. Based on the results of this study, more detailed guidelines for construction safety management can be provided, which help establish safety measures at the construction site.

• Journal of the Korean Society of Clothing and Textiles
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• v.23 no.6
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• pp.864-875
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• 1999

This study was done to classify type os arms and to correspond these types with partial somatotype of upper body such as lateral views of upper body shapes of shoulder. The subjects of this study were female college students of twenties 58 anthropometric and photographic data were measured. The results were as follows : 1. Form the factor analysis arm girth/armscye size factor arm length factor the slope of lower arm, arm factor the curves of armscye the roundness of arm/shapes of shoulder the slope of upper arm factor were obtained. 2. By using factor scores 4 clusters of arm types were extracted. The characteristics of these clusters were projections of armscy slant of lower arm thick-set canelike. 3. Four types of arm were corresponded with the specified lateral views of upper body directions of shoulder slopes of shoulder.

• Proceedings of the ESK Conference
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• 1997.10a
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• pp.437-440
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• 1997

The association of poor body postures with pains or symptoms of musculoskeletal discorders has been reported by many researchers. An ergonomic evaluation of postural stresses as well as biomechanical stresses is also important especially when a job involves highly repetitive or prolonged poor body postures. The human body is divided into five parts: shoulder/upper arm, lower arm/wrist, back, neck, lower extremities. A work-sampling based macropostural classification system was developed to characterize various postures in this study. Application of the posture classification schema developed in this study to 7 automobile assembly tasks showed that the schema can be used as a tool to didntify the operation and tasks involving highly stressful body postures. This posture classification schema can also be applied as a basis for quantitive evaluating the workload of manual task.

• 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.

• Fashion & Textile Research Journal
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• v.18 no.3
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• pp.327-337
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• 2016

The purpose of this study is for size suitability and fitness improvement for Korean 20's women. This study has classified hip types of 20's women by the 6th Korean Anthropometric Survey(Size Korean), then compared their lower body-type by hip types each other. The results are as follows. Factor analysis in sorting hip types can be explained 77.72% by nine factors. And cluster analysis can be divided into three types. Type 1 is referred to as a general type which has the largest size in the 'Hip circumference', but the buttocks's horizontal sizes are in the middle size besides the hip line. Type 2 is referred to as a protruding type in upper buttocks which is large in protruding volume of upper buttocks, but the buttock's horizontal sizes are small including 'Hip circumference', and buttock's horizontal section form close to circle. Type 3 is referred to as a type which is contrary to Type 2. Type 3 is small in protruding volume of upper buttocks, but large in lower buttocks, and the protrusions in whole buttocks are small, so the side view of Type 3 made gentle fit shape. By these results, the study could classify lower body of 20's women, and it can be basic data for new sizing systems and pattern development of bottoms.

• 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.

• Journal of the Korean Society of Clothing and Textiles
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• v.18 no.4
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• pp.560-565
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• 1994

The purpose of this study was to extract information of body form's classification on elderly women. We measured 242 subjects from 55 to 75 years of age, using 27 direct measurement items and 25 body indices. We analyzed these indices with factor analysis, cluster analysis We obtained these following results 1) Through factor analysis, 4 factors (obesity of torso, location of upper torso items, length of upper torso, location of lower torso items & shoulder length) were extracted from body indices. 2) Through culster analysis, we categorized 4 clusters. Namely, type 1, characterized the best slender type, type 2; characterized obesity type, type 3: characterized middle sized type ; type 4: characterized by fat type less than type 2. We considered that type 3 is the typical type on elderly women. Since analysis using indices is very profitable, it may be necessary to design dummies and patterns for clothing manufacture.

• Journal of the Ergonomics Society of Korea
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• v.33 no.2
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• pp.87-96
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• 2014

Objective: The present study is intended to objectively classify upper- & lower-body sitting strategies and identify the effects of gender and OPL type on the sitting strategies. Background: A sitting strategy which statistically represents comfortable driving posture can be used as a reference posture of a humanoid in virtual design and evaluation of a driver's seat. Although previous research has classified sitting strategies for driving postures in various occupant package layout (OPL) types, the existing classification methods are not objective and the factors affecting sitting strategies have not been identified. Method: Forty drivers' preferred driving postures in three different OPL types (coupe, sedan, and SUV) were measured by a motion capture system. Next, the measured driving postures were classified by K-means cluster method. Results: Sitting strategies of upper-body were classified as erect (33%), slouched (41%), and reclined (26%) postures, and those of lower-body were classified as knee bent (42%), knee extended (32%), and upper-leg lifted (26%) postures. Significant differences at ${\alpha}$ = 0.05 in the upper-body sitting strategy by gender and lower-body sitting strategy by OPL type were found. Application: Both the classified sitting strategies and the identified factors would be of use in ergonomic seat design and evaluation.