• Journal of the Korean Society of Clothing and Textiles
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• v.47 no.1
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• pp.137-151
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• 2023

Stationary 3D whole-body scanners generally require 5 to 20 seconds of scanning time and cannot effectively detect armpit and crotch areas. Therefore, this study aimed to analyze the accuracy of a photogrammetric technique using a multi-camera system. First, dimensional accuracy was analyzed using a mannequin scan, comparing the differences between the scan-derived measurements and the direct measurements, with an allowable tolerance of ISO 20685-1:2018. Only 2 of 59 measurement items (ankle height and upper arm circumference, specifically) exceeded the ISO 20685-1:2018 criteria. When compared with the results of the eight stationary whole-body scanners assessed by the literature, the photogrammetric technique was found to have the advantage of scanning the top of the head, armpit, and crotch areas clearly. Second, this study found the photogrammetric technique is suitable for obtaining the body scans because it can minimize the perform scanning, resulting in a reduction of measurement errors due to breathing and uncontrolled movements. The error rate of the photogrammetry method was much lower than that of stationary 3D whole-body scanners.

• Fashion & Textile Research Journal
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• v.12 no.3
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• pp.354-363
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• 2010

The purpose of this study was to provide some preliminary results on application of 3D scan data of head shapes to the hat design and pattern-making. This paper defined necessary measurement items and concepts in 3-dimensional images of head shapes. And also it presented the methodology to pattern-making of 6-piece crown hat based on 3D data. It used the data of Size Korea to pick up and choose a head shape model with the average head size of Korean women in their twenties. Main results were: 1. The 3D scan data of head shape was better than the 1 dimensional measurement data. Because I could establish a hat pattern-making theory by the 3D scan data of head. 2. The 3D scan data provided the basis for conceptualization of basic measurement points and items for a better fit of hats as well as the definition of the basic hat circumference. 3. This presented a methodology for analyzing out head shape by 3D scan data, and allowed the derivation of the basic hat circumference from the maximum head circumference. 4. As the 6-piece Crown cloche hat made by this method fitted the head shape model perfectly, this methodology could suggest potential applicability to various hat design.

• The Research Journal of the Costume Culture
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• v.23 no.4
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• pp.726-736
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• 2015

The apparel industry has recently been recognizing the important target market of middle-aged women. The aim of this study was to examine the anthropometric characteristics of US women of 46 to 65 years of age and identify distinctive body shape characteristics of US middle-aged women. A total of 1915 middle-aged women whose ages ranged from 46 to 65 were selected from the SizeUSA database. The age range was divided into two groups: 46-55 and 56-65. Twenty-four body measurements important for apparel development were chosen. Four factors-Girth Factor, Height Factor, Hip Drop Factor, and Bust Drop Factor-accounted for the US middle-aged women's body measurements. The body shapes were classified into four body shapes, which were Y-Shape in the overweight range, S-Shape in the overweight range, H-Shape in the overweight range, and the A-Shape in obese range. H-Shape, which was the least-defined waist in relation to the bust and hips with a short height, existed more in older middle-aged women than in younger middle-aged women. Y-Shape, S-Shape, and A-Shape existed more in the group of younger middle-aged women than in the group of older middle-aged women. In addition, compared with the younger middle-aged women, older middle-aged women had narrower shoulders, a larger waist, thinner legs, and a longer distance between side neck to bust point. The findings from the current study may be applied in the apparel industry for developing clothing sizing systems for US middle-aged women.

• Korean Journal of Human Ecology
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• v.19 no.1
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• pp.119-126
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• 2010

We need to develop a target market for elderly women by increasing the ratio of functional apparel. The purpose of this study was to provide basic data for developing a Leisure Sports Jumper and improving the quality of life of clothing for female elderly consumers. This study reviewed the current situation on the production of the functional Leisure Sports Jumper for the elderly women in literature. For the experimental study, we selected Leisure Sports Jumpers from five apparel brands, and evaluated a sensory test on 20 subjects representing the average body shape of the elderly women aged from 65 to 75. After the first sensory test, we manipulated the patterns for samples of the Leisure Sports Jumper. In the second sensory test, visual and cognitive appropriateness of the Leisure sports jumpers were assessed by the elderly women. The results of the study were as follows: the Leisure Sports Jumper of brand 'C' showed the highest appropriateness in terms of neck, armholes, and sleeves among the 5 brands. The Leisure Sports Jumper of brands 'B' and 'D' showed the lowest appropriateness in the width of the armpits among the 5 brands. Except for the length of the Leisure Sports Jumper, the margin, location of the pocket, and armholes had the lowest score in the first test showing over 3.5 points.

• Fashion & Textile Research Journal
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• v.25 no.5
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• pp.549-559
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• 2023

Along with the transition to the fourth industrial revolution, the possibility of metaverse-based innovation in the fashion field has been confirmed, and various applications are being sought. Therefore, this study performs meaning structure analysis and discusses the prospects of meta fashion using big data. From 2020 to 2022, data including the keyword "metaverse + fashion design" were collected from portal sites (Naver, Daum, and Google), and the results of keyword frequency, N-gram, and TF-IDF analyses were derived using text mining. Furthermore, network visualization and CONCOR analysis were performed using Ucinet 6 to understand the interconnected structure between keywords and their essential meanings. The results were as follows: The main keywords appeared in the following order: fashion, metaverse, design, 3D, platform, apparel, and virtual. In the N-gram analysis, the density between fashion and metaverse words was high, and in the TF-IDF analysis results, the importance of content- and technology-related words such as 3D, apparel, platform, NFT, education, AI, avatar, MCM, and meta-fashion was confirmed. Through network visualization and CONCOR analysis using Ucinet 6, three cluster results were derived from the top emerging words: "metaverse fashion design and industry," "metaverse fashion design and education," and "metaverse fashion design platform." CONCOR analysis was also used to derive differentiated analysis results for middle and lower words. The results of this study provide useful information to strengthen competitiveness in the field of metaverse fashion design.

• Journal of the Korean Society of Clothing and Textiles
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• v.33 no.1
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• pp.68-79
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• 2009

It is inevitable to have cutting line to get the 2D pattern from 3D body surface. In this paper the efficiency of curvature plot as a cutting line in the process of flattening 3D surface was investigated. As reference, basic clothing construction line was adopted to divide the 3D surface into small blocks to make the flattening process easy. Female dummy as well as human body were scanned and surface of the upper body was segmented using curvature plot and basic constructing line. 2D tight-fit pattern was developed using three software, the RapidForm 2004, 2C-AN and Yuka CAD. Gap between clothes and body, and the clothing pressure on the body was observed to determine the fit of the clothes. As results, clothes constructed with blocks divided by curvature plot displayed a similar level of tight fit as compared with those by basic construction line. It was found that curvature plot is effective method as a segmentation of the 3D surface even for the actual body which does not have any previous reference line. It is expected that application of curvature plot will be expanded in 3D apparel technology.

• Journal of the Korean Society of Costume
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• v.58 no.10
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• pp.65-77
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• 2008

The purpose of this study is to analyze the correlation between the density, the Count and the width of cross section in 2D function through comparison the difference of simulated fabrics based on the various yarns, and to compare the 3D effect by Lay Mapping of diverse fabrics. The method of research is to weave the eight fabrics composed of cotton, linen, worsted, slender yarn, loop, $m{\acute{e}}lange$, woolen, and yarn twist with Hi-Tex program, and to practice 3D mapping with Hi-Print program. As a mapping object, the flared skirt which is a basic costume item is selected. As a result, the thickness of yarn in CAD system was fixed by the width of cross section rather than Count, especially by the width of core section not including the fluff section. The type of yarn such as cotton yarn, linen yarn, and worsted had effect on the shape of texture, but had few interrelations with dimension. In the case of 3D mapping, the textural characteristic and the dimension were presented precisely, whereas there were several limitations. First, the thickness of tissue has not been represented. Secondly, the effect of texture such as fuzzy look, loop was not expressed on the skirt outline including sideline and hemline. Thirdly, the difference of silhouette was not distinct. The common point in 2D and 3D operations is that the representation of texture is relatively accurate and that is difficult to measure and manifest of thickness, the side. For more professional digitalizing in fashion industry, above all in the domain of 3D, it must be supplement the subdivided and differentiated mapping process according to the texture, deviating from the existing analog-based organization which has to designate the form and silhouette suitable for tissue.

• Journal of the Korean Society of Clothing and Textiles
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• v.42 no.2
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• pp.211-223
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• 2018

In global apparel product development, flat is one of the most important key factor for technical design communication. Proportionally correct flats based on correct scaled human body figures are imperative to be successful in the fashion business. In this study the researchers were to develop body templates for flats for Korean women body types using data from 'Size Korea 2004 (5th)', which is a Korean government apparel sizing project to analyze women's body measurements (age range 7-49). We measured 13 height measurements, 6 width measurements, 8 circumference measurements, 6 length measurements, 3 angle measurements and 5 body measurements. A body figure (i.e., schema) for each group was created by Pattern Design Software (PAD) System 4.1. Muscle was added to the schema created by Adobe Illustrator to ensure a better visualization and convenience for industry uses for flats. Developed body figure template of representative type had the largest difference in height level compared to exiting figures. It had a bigger head, lower crotch level, and longer crotch depth and hip length than existing figures.

• Journal of Fashion Business
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• v.15 no.6
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• pp.134-147
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• 2011

This research was motivated to provide the Korean apparel companies doing business in China with some basic data useful to the development of their apparel commodities. As a result of selecting the standard or 'A' somatotype based on the body measurement data of the Chinese women in their early 20's and then, analyzing the correlated distribution and the most frequent intervals, it was found that 'height 160,' 'bust circumference 84' and 'waist circumference 66' were most prevalent. It was found that their average body measurements almost coincided with the standard '160A-84/66.' As discussed above, the researcher selected 13 women corresponding to '160A-84/66' in reference to 2008 body measurement data, and chose 6 women among them secondarily. Then, the researcher comparatively analyzed the direct measurement data and the 3D measurement ones, while analyzing the vertical/horizontal sagittal and Median plane section drawings, it was found that Subject 4 showed the most common somatotype data, while her upper body bent backwards reflected the population most properly.

• Fashion & Textile Research Journal
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• v.22 no.1
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• pp.87-93
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• 2020

This study provide basic data to develop a dress form reflecting body shape characteristics by age and to produce a 3D body form in a virtual fitting program. A comparative analysis was conducted on the size, section shape, and slope of side shape of the modeling form by the sizing of the basic female avatar in CLO 3D, one of the 3D apparel CAD programs and the body form of women in their 20s-50s by body shape in the 6th Size Korea (2010). First, all the differences were formed similarly in the direct measurements between the 3D avatar and the body form were within 1 mm. Second, in a comparison of the section form of the avatar and body form in Size Korea, the avatar was formed in straight body shape and did not reflect a spinal curvature according to age. As a result of an examination of the items with a difference over 5° in the slope of side shape, there were angle differences in numerous body shapes in the angles of the side upper abdomen, side upper back, and side upper bust, and the avatar's bust shape was expressed more flatly compared to body form. It will be possible to produce an avatar that can adequately reflect body shape characteristics by adding detailed length and angle items by the region like waist back length and front length in producing the avatar reflecting body shape characteristics, instead of a standard body shape.