• Title/Summary/Keyword: Anthropometric Feature

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A Study on the Body Size of Girls in the Adolescent Period ($with\;14{\sim}16\;years$) (청소년기 여학생(14세${\sim}$16세)의 신체치수에 관한 연구)

  • Choi, In-Ryu;Lee, Young-Moon;Bang, Hey-Kyong
    • Journal of the Korea Fashion and Costume Design Association
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    • v.8 no.3
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    • pp.113-117
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    • 2006
  • The main objective of this study is to provide numerical guideline for the development of educational environment about girls in the adolescent period ($14{\sim}16\;years$) through comparison and analysis on physical standards of nation (report published in 1997). The sample for this work was chosen from data which were collected and measured by Size Korea during two years ($2003{\sim}2004$). In order to analyze feature of the somatotype of girls in the adolescent period, analysis was performed about 858 subjects on 22 body parts such as height (6 parts), width (3 parts), thickness (3 parts), circumference (4 parts), length (5 parts) and body weight. For the specific comparison on somatotype, $R\'{o}hrer$ index and Mollison's comparison graph were used. The result of this study enables us to know the important factors which affect the somatotype of girls in the adolescent period ($14{\sim}16\;years$) and will be utilized in various fields such as design of classroom, student uniforms, facilities and equipments for education, etc. According to the result of this study, future research will be focused on not only development of educational facilities but also uniform patterns of female students. In addition, the research on development of equipments which are being used by girls in the adolescent period ($14{\sim}16\;years$) will be another future research.

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Study on input data for developing virtual fitting model at internet apparel shopping sites and comparison of the results (인터넷 의류 판매 사이트의 가상피팅모델 구축을 위한 입력정보 종류와 결과 비교)

  • 천종숙;최현영
    • Science of Emotion and Sensibility
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    • v.5 no.4
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    • pp.1-10
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    • 2002
  • A web based virtual try-on provides customers a more enjoyable shopping experience that visualize clothes on personal mannequin. The researchers compared virtual fitting models which were developed in 2000 at Korea and in 2000 and 2002 at U.S. The results of this study as follows: The information about user's body size was required to input for selection of a virtual fitting model. 7 to 19 different body size, shape, and face features including weight and height were needed for visualizing virtual fitting model. The body type of the U.S virtual fitting model(My virtual model) was selected by front view silhouette for women, and by shoulder width and midriff silhouette for men. The more detailed information was required for developing Korean virtual fitting model. The additional body size information required in the site were leg and arm lengths, waist length, and thigh and ankle circumferences. The body proportion of Korean cyber personal mannequin was longer and narrower than the U.S cyber personal mannequin. It was recommended that standardized body length, width, and depth proportions calculated from national anthropometric data must be applied for developing Korean virtual fitting model. With application of more detailed information on face feature and advanced graphic image technology the 'My virtual model in 2002 resembled the human body shape of various race.

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Whole body shape of middle-aged males for development of men's wear

  • Cha, Su-Joung
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.10
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    • pp.117-127
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    • 2019
  • The purpose of this study was to analyze the direct measurement data of 40-59 year old middle-aged men from Size Korea's 7th anthropometric survey, and to identify the body shape characteristics and to type the body shape of middle-aged men. Through this, this study aimed to provide basic data necessary for the clothing patterns of middle-aged men with excellent fit. The data was SPSS Ver. 24.0 program analysis. Factors extracted six including body horizontal, vertical, shoulder, waist front length, leg thickness, and shoulder deflections. The body shape of middle-aged men was classified into three types. Type 1 had a thin body circumference, a narrow width, a low height, a short waist front length, and a thin ankle and calf. Type 2 had a high body height, a long waist front length, a normal circumference and width, a thick ankle, a calf, and a sagging shoulder. Type 3 had a large body circumference, a wide body, a wide shoulder, and a long waist front length. A prominent feature of the changes in body shape of middle-aged men is the increase in the circumference and thickness items due to abdominal protrusion and fat accumulation. Therefore, pattern design according to these physical characteristics is considered to be necessary.

Sex determination from lateral cephalometric radiographs using an automated deep learning convolutional neural network

  • Khazaei, Maryam;Mollabashi, Vahid;Khotanlou, Hassan;Farhadian, Maryam
    • Imaging Science in Dentistry
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    • v.52 no.3
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    • pp.239-244
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    • 2022
  • Purpose: Despite the proliferation of numerous morphometric and anthropometric methods for sex identification based on linear, angular, and regional measurements of various parts of the body, these methods are subject to error due to the observer's knowledge and expertise. This study aimed to explore the possibility of automated sex determination using convolutional neural networks(CNNs) based on lateral cephalometric radiographs. Materials and Methods: Lateral cephalometric radiographs of 1,476 Iranian subjects (794 women and 682 men) from 18 to 49 years of age were included. Lateral cephalometric radiographs were considered as a network input and output layer including 2 classes(male and female). Eighty percent of the data was used as a training set and the rest as a test set. Hyperparameter tuning of each network was done after preprocessing and data augmentation steps. The predictive performance of different architectures (DenseNet, ResNet, and VGG) was evaluated based on their accuracy in test sets. Results: The CNN based on the DenseNet121 architecture, with an overall accuracy of 90%, had the best predictive power in sex determination. The prediction accuracy of this model was almost equal for men and women. Furthermore, with all architectures, the use of transfer learning improved predictive performance. Conclusion: The results confirmed that a CNN could predict a person's sex with high accuracy. This prediction was independent of human bias because feature extraction was done automatically. However, for more accurate sex determination on a wider scale, further studies with larger sample sizes are desirable.

Pediatric phantom library constructed from ICRP mesh-type reference computational phantoms (MRCPs)

  • Suhyeon Kim;Bangho Shin;Chansoo Choi;Hyeonil Kim;Sangseok Ha;Beom Sun Chung;Haegin Han;Sungho Moon;Gahee Son;Jaehyo Kim;Ji Won Choi;Chan Hyeong Kim;Yeon Soo Yeom
    • Nuclear Engineering and Technology
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    • v.56 no.8
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    • pp.3210-3223
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    • 2024
  • International Commission on Radiological Protection (ICRP) recently developed the adult and pediatric meshtype reference computational phantoms (MRCPs) in high-quality/fidelity mesh format, featuring high deformability into various body sizes and poses. Utilizing this feature, the adult MRCPs-based body-size-dependent phantom library was developed for individualized dosimetry. To complete the full phantom library set, the present study produced the pediatric-MRCPs-based body-size-dependent pediatric phantom library. The library comprises a total of 637 phantoms (356 males and 281 females) with varying standing heights and body weights, covering a wide range of body sizes (i.e., including from 1st to 99th percentile height and weight values) for infants, children, and adolescents, offering a realistic representation of body shapes by reflecting ten secondary anthropometric parameters. The phantoms were automatically constructed utilizing automatic deformation program. The dosimetric impact of the library was investigated by calculating organ doses for external exposures to broad parallel photon beams in anterior-posterior direction. Compared with the values of the pediatric MRCPs, significant differences were observed at energies <0.05 MeV, showing larger values for underweight phantom and smaller values for obese phantom. The results highlight the importance of using the pediatric phantom library for accurate dose estimates of individual children with various body sizes.