• Journal of the Korean Society of Clothing and Textiles
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• v.45 no.6
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• pp.965-977
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• 2021

The study aimed to analyze the functional differences in 3D virtual garment programs and compare body scan data with the corresponding 3D virtual models. We selected 3D virtual garment programs, formed virtual models in a representative size for high-school male cyclists, and analyzed them using the Design-X program. The results were as follows. In the 3D virtual garment programs, the anthropometric items for virtual model forming differed significantly from the standard anthropometric items suggested by Size Korea. Comparing the lower body scan data and virtual models formed by the 3D virtual garment programs, the biggest difference was in the shapes of the waist and hips, i.e., the flatness values of the waist and hips were different for each program in the cross-section view. In the lower body, a data-input-based program was needed for changing the exact measurement position of the waist circumference and hips' shape in detail. If a 3D virtual garment program provides functions for the virtual model's joint angle input and free motion transformation, it is expected to be widely used in the sportswear industry.

• Fashion & Textile Research Journal
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• v.15 no.2
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• pp.247-255
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• 2013

This study develops size sections and specifications for females 7-18 years old. The specifications will contribute to the development of precise virtual models that represent basic data for the size alteration of 3D virtual models. A total of 33 items from the $5^{th}$ Size Korea data set were adopted and analyzed. Two representative factors (Obesity and Height Factors) were identified through a factor analysis of the 33 items. Waist circumference and stature were selected as representative variables for Obesity and Height Factors, respectively, and conducted cross tabulations between waist circumference and height for the age groups of 7-12 and 13-18 year-olds. Size sections were developed for the development of 3D models based on the results. A regression analysis then developed size specifications for each section with independent variables of waist circumference and height as well as dependent variables of reference body size. Subsequently, Obesity Factors were better explained by waist circumference and Height Factors were better explained by stature. Finally, size specifications for each section were developed.

• Journal of Fashion Business
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• v.24 no.1
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• pp.102-116
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• 2020

After its introduction in Korea, nail art is becoming active, especially among women in their 20s and 30s who are interested in fashion and beauty. Although self-nail tips are available online in various designs for each brand that is currently on the market, these designs and sizes of self-nail tips on the market are different for each age group. Since the design or size is not suggested for the different situations, there are difficulties in purchasing products that match the shape and size of nails of consumers. In this study, frequency analysis was performed using 'SPSS statistics 21.0 for windows program' to analyze data obtained by direct measurement method and 3D scanner measurement method for Korean women in their 20s. For comparative analysis between direct and 3D scanner measurements, a corresponding sample, 'T-test', was performed. As a result, we proposed the standardization of nail tip size after comparative analysis between direct measurement and 3D scanner measurement. Previous studies have been proceeding with direct measurement method. However, this study introduced a 3D scanner measurement method in the nail field and attempted the standardization of nail size by age group of Korean women. Importantly, this sutdy suggests standardization of nail tip size among missing body sizes.

• Fashion & Textile Research Journal
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• v.26 no.1
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• pp.78-87
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• 2024

This study aimed to propose an innovative teaching pedagogy using a half-scale body form in apparel design education and evaluate its effectiveness in augmenting students' understanding of ergonomic patterns. Constructed in alignment with Phoenix's (2018) study, which used 3D body scanning and digital editing software, the half-scale body form was created through a five-step process, encompassing body measurement, 3D body modeling, fabrication of a physical half-scale body form, pattern making, and evaluation. Implemented in an undergraduate patternmaking course offered at a 4-year university in the metropolitan Seoul, this instructional approach's effectiveness was gauged through students' course projects and exit interviews. The results underscored the positive impact of the proposed teaching pedagogy on students' grasp of ergonomic pattern development, fostering a keen understanding of diverse body shapes and sizes and the relationship between the human body and garments. Furthermore, it played a role in cultivating positive body image and self-endorsement among students. The research contributes meaningfully by presenting a fresh perspective in apparel design education, seamlessly integrating advanced anthropometric and technological tools into a conventional patternmaking classroom. It offers a novel learning experience for students majoring in apparel, creating a fun and interactive teaching environment.

• Korean Journal of Human Ecology
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• v.19 no.3
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• pp.555-563
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• 2010

With recent advances in 3D scanning technology, three-dimensional (3D) patternmaking is becoming a powerful way to develop garments pattern. This technology is now applicable to the made to measure (MTM) system of both ordinary and tightly fitting garments. Although the pattern of fitted clothing has been developed using 3D human data, it is still interesting to develop cycling pants by considering while-cycling body posture and fabric elasticity. This study adopted the Garland's triangle simplification method in order to simplify data without distorting the original 3D scan. Next, the Runge-Kutta method (2C-AN program) was used to develop a 2D pattern from the triangular pixels in the 3D scanned data. The 3D scanned data of four male, university students aged from 21 to 25, was obtained using Whole body scanner (Model WB4, Cyberware, Inc., USA). Results showed the average error of measurement was $4.58cm^2$ (0.19%) for area and 0~0.61cm for the length between the 3D body scanned data and the 2D developed pattern data. This is an acceptable range of error for garment manufacture. Additionally, the 2D pattern developed, based on the 3D body scanned data, did not need ease for comfort or ease of movement when cycling. This study thus provides insights into how garment patterns may be developed for ergonomic comfort in certain special environments.

• Korean Journal of Human Ecology
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• v.18 no.3
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• pp.719-727
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• 2009

The ultimate success of commercial applications of body scan data in the apparel industry will be consumers' substantial applications such as automated custom fit, size prediction, virtual try-on, personal shopper services (Loker, S. et al., 2004). In this study, we surveyed fifty consumers and forty-seven apparel industry workers about their recognition and interest in 3D body scanning and virtual try-on. The results are as follows: 55% of the apparel industry workers has recognized 3D body scanning as a convenient technology, but do not know how to use it. To the questions regarding virtual try-on, 53% of the workers give positive answers. The consumers have a more positive view on virtual try-on than the workers do. The workers predict that the application of 3D body scan technology to the apparel industry could offer customers helpful information in their clothing selection by using virtual images of various size and style, and increase mass production of MTM(Made-To-Measure). The answers from the male consumers in their twenties indicate that virtual try-on is useful by 88% on offline shopping and by 100% on online shopping. 53% of the workers and 68% of the consumers gave answers that just by virtual try-on they could judge the quality of the apparel products and purchase them. Absolutely 3D virtual try-on is an effective tool for online shoppers. 85% of the workers anticipate applications of the 3D body scanning also in 'body measurement', 'custom pattern development' as well as 'virtual try-on' in the near future. With the positive reactions and the stimulating interests in virtual try-on, the conditions of contemporary world encourage more active researches and wide usages of the technology in apparel industry.

• Fashion & Textile Research Journal
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• v.10 no.5
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• pp.713-720
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• 2008

The purpose of this study was to propose the method reproducing three dimensional figure data to a reconstructed body by the styrofoam board. To make the reconstructed body, the 3D figure data were rotated to make symmetry and the surfaces were edited. The horizontal curves were gathered equally-spaced based on the waist horizontal plane. we proposed the process to cut the styrofoam board according to the horizontal curves, to assemble them to organize the shape of the body figure and to coat the surface with the knitted. The 3-dimensional figure data of straight type, swayback type, lean-back type and bend-forward type were selected and the reconstructed bodies were made as above. And the compatibility was verified by the measurement comparison and deviations between 3-dimensional figure data and reconstructed body.

• Journal of the Korean Society of Clothing and Textiles
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• v.47 no.1
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• pp.171-190
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• 2023

This study aims to develop algorithms for automatic extraction landmarks from the lower body of women aged 20-54 using the Grasshopper programming language, based on 3D scan data in the 8th SizeKorea dataset. First, 11 landmarks were defined using the morphological features of 3D body surfaces and clothing applications, from which automatic landmark extraction algorithms were developed. To verify the accuracy of the algorithm, this study developed an additional algorithm that could automatically measure 16 items, and algorithm-derived measurements and SizeKorea measurements were compared using paired t-test analysis. The statistical differences between the scan-derived measurements and the SizeKorea measurements were compared, with an allowable tolerance of ISO 20685-1:2018. This study found that the algorithm successfully identified most items except for the crotch point and gluteal fold point. In the case of landmarks with significant differences, the algorithms were modified. This study was significant because scan editing, landmark search, and measurement extraction were successfully performed in one interface, and the developed algorithm has a high efficiency and strong adaptability.

• Journal of the Ergonomics Society of Korea
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• v.28 no.4
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• pp.117-124
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• 2009

To inspect the quality of data collected from a large-scale body measurement and investigation project, it is necessary to establish a proper data editing process. The three-dimensional body measurement may have measuring errors caused from measurer's proficiency or changes in the subject's posture. And it may also have errors caused in the process of algorithm expressing the information obtained from the three-dimensional scanner into numerical values, and in the course of data-processing dealing with numerous data for individuals. When those errors are found, the quality of the measured data is deteriorated, and they consequently reduce the quality of statistics which was conducted on the basis of it. Therefore this study intends to suggest a new way to improve the quality of the data collected from the three-dimensional body measurement by proposing a working procedure identifying data errors and correcting them from the whole data processing procedure-collecting, processing, and analyzing- of the 2004 Size Korea Three-dimensional Body Measurement Project. This study was carried out into three stages: Firstly, we detected erroneous data by examining of logical relations among variables under each edit rule. Secondly, we detected suspicious data through independent examination of individual variable value by sex and age. Finally, we examined scatter-plot matrix of many variables to consider the relationships among them. This simple graphical tool helps us to find out whether some suspicious data exist in the data set or not. As a result of this study, we detected some erroneous data included in the raw data. We figured out that the main errors are not because of the system errors that the three-dimensional body measurement system has but because of the subject's original three-dimensional shape data. Therefore by correcting some erroneous data, we have enhanced data quality.

• The Research Journal of the Costume Culture
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• v.26 no.1
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• pp.30-44
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• 2018

The study purpose was to investigate the jacket-fit satisfaction level of men in their 20s and 30s, using body-scanning data and a questionnaire. Thirty-five men were scanned using a 3D body scanner. The participants were divided into three groups (Small, Medium, and Large) based on their chest-circumference measurement. Their levels of satisfaction with the fit of their tailored jacket were compared by group. Chest, waist, and hip circumferences increased substantially as group size increased. The M-group was mostly satisfied with all body-site views. The S-group was especially dissatisfied with height, back width, waist circumference, and upper-arm circumference. The L-group was especially dissatisfied with waist circumference and hip circumference. The majority of the participants preferred the jacket closely fitted to their body. More than half of the participants thought finding a jacket of suitable size was difficult. When purchasing ready-to-wear jackets, the S-group and the M-group considered shoulder width important, while the L-group considered chest circumference the most important area. When evaluating the fit of ready-to-wear jackets, the L-group evaluated chest circumference, back width, and waist circumference as poor fits. The M-group evaluated sleeve length and shoulder width as poor fits, and the S-group agreed with respect to sleeve length. Body-satisfaction levels and matching jacket-satisfaction levels differed by body-size group, as did areas that need improvement. The conclusion is that size-group analysis using 3D body scanning can be utilized effectively for jacket-fit analysis. The findings of the current study can be applied to improving jacket fit among young male consumers.