• The Research Journal of the Costume Culture
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• v.30 no.1
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• pp.66-87
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• 2022

This study explores the possibility of creating new experimental hanbok designs by accommodating the latest world fashion trends and the changing needs of consumers, in order to attempt to overcome the limitations of traditional Korean fashion design. To do so, We analyze works by contemporary Korean fashion designers to investigate current developments in Korean fashion design and to identify areas of improvement within hanbok design. The results show that most contemporary hanbok designs repeat stereotypes of traditional hanbok with minor modifications. So there arises a need to create new hanbok designs that are clearly distinct from traditional hanbok but also maintain its core features. To develop such designs, I apply the techniques of deconstruction fashion, which allow making experiments with form, composition, and materials use to realize new aesthetics. The use of CLO 3D fashion design software also proves to be very efficient for developing experimental designs. The study results make meaningful contributions to the development of virtual clothing and 3D fashion for hanbok, particularly as metaBUS, a cloud-based research synthesis platform, is rapidly gaining ground, and reality and virtual reality are increasingly mixed in everyday life. This attempt at 3D design of hanbok is expected to trigger more creative experimentation in hanbok design.

• The Research Journal of the Costume Culture
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• v.23 no.6
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• pp.1097-1115
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• 2015

ICT in the IOT era is the core basis of modern society. This study investigated and analyzed the recent commercialization trends of smart fashion products internationally and domestically, to utilize them as the basis of data for developing user-friendly smart fashion products that can meet the needs of consumers. Keyword research using the most representative search engines, Google and Naver was conducted for searching for various wearable items commercialized actively since 2010. The final 78 products were classified by the physical area, and the key features and benefits were analyzed. Smart fashion products were classified as four physical types for the head and face, torso, arms and hands, and ankles and feet. Smart fashion products for each body part were developed in various ways, such as hats, glasses, lenses, virtual screens, earphones, headsets, clothing, watches, wrist bands, gloves, rings, wallets, bags, anklets, shoes, socks, and insoles. The main features were music playback, bluetooth, a camera based on NFC, virtual effects, health and safety protection through measuring heartbeat and momentum, and social network sharing of all kinds of information, based on inter-working with a smartphone. These functions represent the physical, social, and emotional interactions among users and their surroundings, as well as the users, themselves. The research results are expected to be used in future studies on planning user-friendly and marketable products through in-depth analysis of the design characteristics of smart fashion products as well as consumer responses.

• Journal of the Korean Society of Clothing and Textiles
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• v.43 no.3
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• pp.349-360
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• 2019

This study analyzes the trends of recommendation services for customized fashion styles in relation to artificial intelligence. To achieve this goal, the study examined filtering technologies of collaborative, content based, and deep-learning as well as analyzed the characteristics of recommendation services in the users' purchasing process. The results of this study showed that the most universal recommendation technology is collaborative filtering. Collaborative filtering was shown to allow intuitive searching of similar fashion styles in the cognition of need stage, and appeared to be useful in comparing prices but not suitable for innovative customers who pursue early trends. Second, content based filtering was shown to utilize body shape as a key personal profile item in order to reduce the possibility of failure when selecting sizes online, which has limits to being able to wear the product beforehand. Third, fashion style recommendations applied with deep-learning intervene with all user processes of buying products online that was also confirmed to penetrate into the creative area of image tag services, virtual reality services, clothes wearing fit evaluation services, and individually customized design services.

• Fashion & Textile Research Journal
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• v.23 no.6
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• pp.790-798
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• 2021

With digital technology innovation, increased data access and mobile network use by consumers, products and services are changing toward pursuing differentiated values for personalization, and personalized markets are rapidly emerging in the fashion industry. This study aims to identify trends in digital customized automation technology by deriving types of digital customizing and analyzing cases by type, and to present directions for the development of digital customizing processes and the use of technology in the future. As a research method, a literature study for a theoretical background, a case study for classification and analysis of types was conducted. The results of the study are as follows. The types of digital customizing can be classified into three types: 'cooperative customization', 'selective composition and combination', 'transparent suggestion', and automation technologies shown in each type include 3D printing, 3D virtual clothing, robot mannequin, human automatic measurement program, AR-based fitting service, big data, and AI-based curation function. With the development of digital automation technology, the fashion industry environment is also changing from existing manufacturing-oriented to consumer-oriented, and the production process is rapidly changing with IT and artificial intelligence-based automation technology. The results of this study hope that digital customized automation technology will meet various needs of personalization and customization and present the future direction of digital fashion technology, where fashion brands will expand based on the spread of digital technology.

• Journal of Fashion Business
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• v.25 no.3
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• pp.36-50
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• 2021

In the COVID-19 era, globally, companies in the fashion industry are pursuing new convergence methods through digital technology. Conventional fashion shows have become difficult to run exclusively, instead, the shows are run through a combination of offline and digital arrangements. This paper examines the trends of seven digital fashion show weeks in London, Paris, Milan, New York, Seoul, Shanghai, and Tokyo, and presents strategies applicable in Korea's Seoul Digital Fashion Week. We focused on the digital technology used in the digital fashion weeks fashion brands, and the characteristics of the host cities. The study conducted a literature review and case study through corporate and research report data, and the Fashion Week website. Based on the study results, changes in fashion industry calendars like 'See now, Buy now', seasonless, and unified collections for men and women, expansion of D2C system, the rise of short-form contents, and the expansion to the virtual world space and physical limitations can be cited as changed trends. The study provides insight into the incorporation of the Korean Wave and K-Pop singers, industrial structure change, and the establishment of B2B system in the Seoul digital fashion week. The shift to the digital runway is not only an alternative method to cope with the COVID-19 era but also a new "new normal". Fashion shows are no longer fixed and planned in free spaces. As a venue displaying the creator's personality, digital fashion week is expected advance in the future.

• Journal of Fashion Business
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• v.16 no.3
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• pp.125-135
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• 2012

Since knitted textile products mostly do not require long span of time from the conception to the final products, they have lead the fashion trends during the recent decades. Developments in the textile engineering industries, and computer software and hardware industries have made the 3D virtual clothing software system easily accessible by the fashion/textile industry personnel. The simulated models of apparel products using the state-of-the-art virtual clothing systems are, however, not the replica of real-world garments. Moreover, the garments do not maintain fixed shapes during wearing. Deformations at low external stress lead to difficulties in predicting the behavior of the knitted garments. Therefore, there is a need to compare the differences in appearances, textures, or other related properties between simulated fabrics and actual fabrics. Three knit stitches including jersey, rib, and cable stitches are examined in this study. The differences between fluffy thick yarns and thin yarns are also compared using 3D scanning and surface reconstruction. Obtained three-dimensional data regarding the reconstructed knit specimens would help to build a data base for estimating the behavior of the 3D models of the knitted garments.

• Journal of Fashion Business
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• v.15 no.2
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• pp.57-70
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• 2011

As a form of media diversified and changed by the development of technology, fashion advertisements have brought a new change in representation of the body. With this transition, the characteristics of the body, which is in an inseparable relationship with fashion, have been dramatically changed in fashion advertisements. In hugely extended media flow, fashion advertisements suggest concepts of the body that are completely different from the past and became the focus in advertisements. Moreover, the body in fashion advertisements involve the symbolisms of social and cultural backgrounds followed by their commercialization. This study analyzes the characteristics of the body in fashion advertisements drawing on the innovative concepts of the body in contemporary society which is essentially different from the past ones; these characteristics are examined as postmodern features. The features are categorized as follows; hyperreal body, virtual body, fragmentization of the body through neologism, reconsideration of naked body, and decentralized body. The postmodern characteristics of the body have changed the boundary, broken traditional concepts and thoughts, and proposed new trends by creating revolutions though diversified media. Rapidly changing media is considered to be further accelerated; this transition highlights the postmodern characteristics of the body in fashion advertisements in more innovative methods.

• Journal of Fashion Business
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• v.17 no.6
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• pp.28-43
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• 2013

Recent trends toward the collaborations among various sectors of academia and research areas have brought interests and significances in new activities especially in the fashion and textile areas. One of the collaboration examples is the recent research projects on 3D virtual clothing systems based on the 3D CAD software. The 3D virtual clothing systems provide simulated apparels with high degrees of fidelity in terms of color, texture, and structural details. However, since real fabrics exhibit strong nonlinearity, anisotropy, viscoelasticity, and hysteresis, the 3D virtual clothing systems need fine tuning parameters for the simulation process. In this study, characteristics of silk fabrics, which are woven by using degummed silk and raw silk yarns, are being analyzed and compared. Anisotropic properties may be measured as warp and filling direction properties separately in woven fabrics, such as warp tensile stress or filling bending rigidity. Hysteretic properties may be measured as bending hysteresis or shear hysteresis by using KES measurements. These data provide deformation-force relationships of the fabric specimen. Three-dimensional effects obtained when using these characteristic fabrics are also analyzed. The methods to control the three-dimensional appearance of the sewn fabric specimens when utilizing a programmable microprocessor-based motor device, as prepared in this study, are presented. Based on the physical and mechanical properties measured when using the KES equipment, the property parameters are being into a 3-dimensional virtual digital clothing system, in order to generate a virtual clothing product based on the measured silk fabric properties.

• Journal of the Korea Fashion and Costume Design Association
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• v.23 no.1
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• pp.143-154
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• 2021

This study attempted to develop winter jackets and pants patterns reflecting the latest comfortable and active school uniform trends, using middle school boy avatars having various body shapes. Jacket and pants pattern-drawing methods and margins differed. Based on the results, research prototypes were prepared. Then, virtual wear prospective drawings, clothing pressure, and appearance were assessed according to body shape. Jackets were assessed using 25 factors, while pants were assessed using 19. Then, correlations between the jackets and pants were analyzed. According to the analysis, the reason why the dart & tuck position and margin were rated low was confirmed. In a virtual wear assessment on jacket patterns by body shape, a significant difference was found in all categories, except for fit and shape at the front bottom, sleeve length on the side, and the center back line. The virtual wear assessment on the pants patterns by body shape also revealed a significant difference in all categories, except for pants length. In jackets, a significant influence was observed around the shoulders and waist in Type 1 and around the belly in Type 2. On the contrary, for pants, a significant influence was found around the hip and waist in Type 1 and around back crotch in Type 2. Therefore, they should be considered when making of jackets and pants. The above results suggested that jacket and pants patterns should vary depending on body shape. It is anticipated that there should be further studies comparing brand-name school uniforms for middle school girls and school uniforms by body shape.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.1
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• pp.101-107
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• 2023

The purpose of this study is to research and develop the concepts and functions of the Metabus dog fashion show. Currently, as the pet-related industry grows rapidly, the pet fashion industry is also naturally growing. However, unlike the fast-growing fashion industry, it was not enough to meet the needs of dog owners. Therefore, this study attempted to develop a metaverse dog fashion show by supplementing the problems that arise when purchasing existing pet clothes through metaverse. As a research method, first, a survey was conducted on the rise in the actual pet-related industry and the social trends of metaverse and virtual fashion shows. Second, the existing dog clothing purchase characteristics were examined through user demand analysis, and user needs were derived. Third, the appropriate form of content was established, and a new content consumption environment called metaverse was analyzed and derived. Finally, functions were derived and developed to give users satisfaction. In the future, it is necessary to study a clear payment system in connection with the actual dog clothing business based on this.