• 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.

• Korean Journal of Human Ecology
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• v.23 no.3
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• pp.483-500
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• 2014

Survey was conducted on 201 female college students who in at the university to analyze perceptions and satisfaction levels about their body shapes. Results revealed that the Chinese female students recognized that they had broader shoulder angles, bigger breasts and longer calves and legs than Korean female students whereas the Korean female students had larger hip and thigh circumference than Chinese female students. It was found that the Chinese female students had preference for drooping shoulders while the Korean students perceived themselves as thinner and have longer arms, fingers, waist measurement, torso thickness, calves, feet and legs are ideal body shapes. The results of this study show that body weight, height and chest size have a lot of influence on it and the Korean female students were less satisfied their body shape compared with the Chinese female college students. The correlation analysis indicated that body shapes were an important indicator of satisfaction and the thinner the body shape, chest, thigh, waist, finger, arms, the greater the satisfactions.

• Journal of the Korea Society of Computer and Information
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• v.24 no.3
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• pp.135-141
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• 2019

The purpose of this study was to analyze the direct measurement data of 20-25 years male university students of 7th Size Korea data and to characterize and to type the body shape of lower body. It was to provide basic data for male university students' pants pattern production. The lower body part consisted of the 'horizontal factor' of the lower body composed of circumference, thickness, width, and 'vertical factor' of the lower body composed of the length and height. This was consistent with the analysis of the body shape factor of the lower half of male adolescents. The lower body shape was classified into four types. Type 1 was thick and relatively long in the lower body and was named 'thick long leg'. Type 2 was named 'short bird legs' because the lower body was thin and relatively short. Type 3 was relatively thin and long, so the lower body was named 'long crane leg'. In Type 4, the lower body was relatively thick and short, which means 'short pillar leg'. In the case of 20-25 year-old male university students, they have different body shapes depending on the girth and length of the lower half of their body as they have reached adulthood. Therefore, it would be necessary to provide a sales system that allows the repair of the length of the pants to be facilitated, and the length of the pants to be repaired when the pants are selected according to the circumference. Future studies will need to classify the body shape according to angle and flatness.

• Journal of the Korea Society of Computer and Information
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• v.24 no.4
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• pp.129-136
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• 2019

The purpose of this study was to provide basic data necessary for the development of clothing that can improve the satisfaction of body shape of elderly men by examining subjective characteristics and characteristics of perception type of older men's body shape. Using the Q methodology, I investigated and analyzed the process of formation and main characteristics of subjectivity of various types of recognition that elderly men express about their body shape. There were four types of perception of body shape in elderly men: flat hip and bird legs skinny body, back bent and abdominal obese body, thick neck and upper body development body, forward cervical neck and protruding abdomen obese body. The actual body shape of elderly men was classified according to the bust, waist circumference, hip circumference, and body part angle. But recognition body shape of elderly men was classified by visual factors like the abdomen, the angle of the neck, the inclination of the back, the slope of the waist, and the degree of obesity. It is necessary to consider the trend of silver fashion which is increasing in demand. In addition, it is necessary to develop clothing patterns of comfortable fit through ergonomic study on the physical characteristics of older men. Consideration should be given to the design and pattern that can reduce the difference between the ideal body shape and the body shape recognized by older men.

• Journal of the Korea Society of Computer and Information
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• v.24 no.2
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• pp.85-93
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• 2019

The purpose of this study is to provide basic data for the development of clothing which can improve the satisfaction of male university students' body shape by classifying the perception of body shape and examining characteristics by type. The types of recognition of body shape of male college students were classified into five types: developed upper body with protruding under abdomen, normal body with long legs, developed under body with big skeleton, skinny body, and ladder type normal body. The actual body shape was classified into three. The Y type had a long chest length and a shoulder developed, and the lower body silhouette was plain and short. Type H was flat with little protrusion from the chest to the hip. Type X has a larger hip and longer hip length than the waist. Body type was classified based on bust, waist, and hip circumference, but recognition body type was classified based on visual characteristics. It is thought that ergonomic consideration is needed to cover the disadvantages of each body type considering the aesthetic part as well as wearing comfort in accordance with the trend of the fashion market nowadays that the slim fit is generalized. This study was limited to male university students in their early 20s in Chungbuk province. Therefore, we could not grasp attitudes and perceptions of male university students living in other provinces. Therefore, we should pay attention to the generalization of the results of this study.

• Journal of Engineering Education Research
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• v.17 no.4
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• pp.15-20
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• 2014

The non-contact easy detecting system of nursing person's body vital information and their behaviors monitoring system are developed, which consist of "Kinect" sensor and thermography camera. The "Kinect" sensor can catch the body contour and the body moving behavior, and output their imaging data realtime. The thermography camera can detect respiration state and body temperature, etc. In this study, the practicability of this system was verified.

• Proceedings of the Korean Information Science Society Conference
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• 2001.10b
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• pp.523-525
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• 2001

본 논문은 많은 수의 rigid body 물체들을 물리학에 기반하여 실시간으로 애니메이션하는 방법을 제안한다 rigid body 물체들의 움직임을 생성해내는 과정은 상당한 시간이 소요되며 또한 물체의 수가 증가함에 따라 계산시간이 급증한다. 본 논문에서는 Timewarp rigid body 시뮬레이션 알고리즘을 실시간 애니메이션에 적용하기 위해 시간당 생성되는 프레임 수에 따른 다단계 롤백 범위 적용을 하는 방법을 제안하고 실험을 통하여 시뮬레이tus 시스템의 효율성을 보인다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.7 no.11
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• pp.2839-2852
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• 2013

Context-awareness is an essential part of ubiquitous computing, and over the past decade video based activity recognition (VAR) has emerged as an important component to identify user's context for automatic service delivery in context-aware applications. The accuracy of VAR significantly depends on the performance of the employed human body segmentation algorithm. Previous human body segmentation algorithms often engage modeling of the human body that normally requires bulky amount of training data and cannot competently handle changes over time. Recently, active contours have emerged as a successful segmentation technique in still images. In this paper, an active contour model with the integration of Chan Vese (CV) energy and Bhattacharya distance functions are adapted for automatic human body segmentation using depth cameras for VAR. The proposed technique not only outperforms existing segmentation methods in normal scenarios but it is also more robust to noise. Moreover, it is unsupervised, i.e., no prior human body model is needed. The performance of the proposed segmentation technique is compared against conventional CV Active Contour (AC) model using a depth-camera and obtained much better performance over it.

• Proceedings of the Acoustical Society of Korea Conference
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• autumn
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• pp.57-60
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• 2004

본 논문에서는 음성정보기술산업지원센터(SiTEC)에서 현재 배포중인 고소음 환경 음성 DB를 이용하여 air-conducted 음성과 body-conducted 음성의 인식 성능을 비교 실험하였다. 소음 환경에서 일반적인 마이크로폰으로부터 수집된 air-conducted 음성은 잡음의 영향을 받기 쉬우며 이는 인식률을 저하시킨다. 반면에 진동 픽업 마이크로폰에서 수집된 body-conducted 음성은 소음에 보다 강인한 특성을 보인다. 이러한 특성에 근거하여 소음 환경에서 일반 다이나믹 마이크로폰 음성에 음질 개선 방법과 채널 보상 방법을 적용한 인식 결과와 3종류의 진동 픽업 마이크로폰에서 수집된 음성과의 인식 성능을 비교 분석하여 body-conducted 음성 인식 시스템의 환용 가능성을 살펴보았다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.577-578
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• 2017

Existing exercise management systems provided exercise information to the user. However, there is a problem that the accuracy is low due to the absence of an algorithm for analyzing the user's body information and providing information. In this paper, BMI(Body Mass Index) and BMR(Basal Metabolic Rate) values are analyzed to analyze user's body information. It also recommends exercise intensity and momentum to the user and graphs the history of the exercise device that the user has used. Through this, it is considered that the information corresponding to the user's body can be provided and the exercise management can be carried out.