• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.1267-1268
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• 2013

온라인 패션 쇼핑몰을 이용하는 소비자가 늘어나면서 소비자의 불만 사항으로 상품의 불량상태, 사이즈 불일치, 배송 및 환불 지연, 품절 및 입고 지연, 색상 불일치, 입어보지 못하는 불편함 등이 있는데, 그 중에 하나인 사이즈 불일치와 입어보지 못하는 불편함을 가상의 모델로 대체하여 옷을 입어 사용자가 확인하는 어플리케이션이다. 본 논문에서는 사용자의 키와 몸무게, 사이즈를 입력하고 사람의 표준적인 몸으로 사이즈에 맞는 옷을 입혀 사용자가 옷을 사기 전 사이즈를 확인 할 수 있도록 도움을 주는 어플리케이션이다.

• The Journal of the Convergence on Culture Technology
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• v.7 no.1
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• pp.75-81
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• 2021

With the development of advanced information and communication technology, Generation Z, familiar with digital culture, is drawing keen attention as a major consumer of the fashion industry. In this study, casual wear for Generation Z, who is proficient in digital devices and prefers information acquisition and lifestyle over the Internet, was designed using 3D virtual simulation and developed into four looks: Gulish, Sportive, Easy and Contemporary. The use of simulation of 3D virtual clothing in costume design can build digitalization of future fashion industry through convergence with digital fashion design planning and production process in fandemic environment and strengthen online platform distribution. In a business environment that continues to innovate to enhance work efficiency by introducing an Untouch fashion production system, the use of 3D virtual clothing technology can increase the efficiency of sustainable management through 3D sample production, online fitting, modification, and final critic processes to reduce the time and cost of human and physical resources and review.

• Journal of the Korean Society of Clothing and Textiles
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• v.36 no.3
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• pp.269-281
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• 2012

This study investigates the influence of technology readiness, fashion innovativeness, and participation level perception on the acceptance intention of 3D virtual fitting systems. We presented a 3D virtual fitting system with detailed information that was watched by respondents who subsequently completed a research questionnaire. The data were collected from 300 subjects with an age range of 21 to 39 who have experienced Internet shopping. Descriptive statistics, Cronbach's alpha, factor analysis, correlation analysis, and multiple regression analysis were conducted. The results were as follows. First, fashion innovativeness, technology innovativeness, participation level perception, and optimism significantly influenced the acceptance intention. Second, fashion innovativeness, technology innovativeness, participation level perception, and optimism positively influenced the acceptance intention in the male group; however, technology innovativeness, participation level perception, optimism, and insecurity significantly influenced the acceptance intention in the female group. The results indicated that a marketing strategy has to be designed that focuses on consumers with high technology, fashion innovativeness, and optimism to increase the acceptance intention. In addition, markers have to enhance a participation level perception that will contribute to the introduction of 3D virtual fitting systems. Another notable finding was the importance to differentiate marketing strategies according to gender.

• Journal of the Korean Society of Clothing and Textiles
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• v.47 no.6
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• pp.1157-1176
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• 2023

This study aims to verify the psychological evaluation that consumers undergo when accepting virtual fitting services while shopping online. The Theory of Interactive Media Effects (TIME) was applied to determine the impact of the perceived affordance of media on consumer response through immersion. An online survey was conducted targeting female consumers in their 20s and 30s, and 271 responses were collected and used for empirical analysis. The results of the analysis showed that interactivity and immediacy had a positive effect on telepresence. Telepresence, in turn, affected perceived usefulness and enjoyment, which then significantly affected purchase intention. In addition, some paths confirmed the moderating effect of consumer innovativeness. In consumers with high innovativeness, interactivity was found to have a greater influence on telepresence and perceived usefulness had a more significant influence on purchase intention than in consumers with low innovativeness. Conversely, in consumers with low innovativeness, perceived enjoyment was found to have a greater influence on purchase intention than in consumers with high innovativeness. The significance of this study is that it expands research on customer perception of virtual fitting services within online shopping platforms.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.2-5
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• 2022

With the advent of deep learning and the rapid development of ICT (Information and Communication Technology), research using artificial intelligence is being actively conducted in various fields of society such as politics, economy, and culture and so on. Deep learning-based artificial intelligence technology is subdivided into various domains such as natural language processing, image processing, speech processing, and recommendation system. In particular, as the industry is advanced, the need for a recommendation system that analyzes market trends and individual characteristics and recommends them to consumers is increasingly required. In line with these technological developments, this paper extracts and classifies attribute information from structured or unstructured text and image big data through deep learning-based technology development of 'language processing intelligence' and 'image processing intelligence', and We propose an artificial intelligence-based 'customized fashion advisor' service integration system that analyzes trends and new materials, discovers 'market-consumer' insights through consumer taste analysis, and can recommend style, virtual fitting, and design support.

• Proceedings of the Korean Society of Computer Information Conference
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• 2011.01a
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• pp.171-172
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• 2011

본 논문에서는 사람들의 관심사를 충족시킬 주제로, 소셜 네트워크(SNS)를 활성화 하여 다자간의 대화를 통한 비즈니스 마케팅을 유도하며 기존의 블로그 형식의 커뮤니티와 쇼핑몰의 형태를 결합한 신개념 네트워크를 제안하고 구현한다. 소셜 네트워크를 활성화 시키고, 패션이라는 주제로 사람들의 개성을 살릴 수 있는 아이템을 선정. 각자의 특성이 담긴 "아바타"를 제작, 본 논문 내에서 각자가 특성이 담긴 패셔니스타가 될 수 있는 공간이 된다. 실제 의류, 소품과 제법 유사하게 만든 이미지를 나와의 신체 비율이 비슷한 아바타에 직접 피팅을 시킬 수 있으며 자신이 직접 입어보지 않고, 시간과 공간의 제약을 받지 않는 것이 특징이다. 다자간의 실시간 커뮤니케이션을 통해 네트워킹도 활성화 될 뿐더러 기업과의 연계를 통해 구매로까지 이어질 수 있는 공간을 만든다.

• Journal of the Korea Computer Graphics Society
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• v.26 no.5
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• pp.15-24
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• 2020

We present a supervised learning method that estimates the simulation parameters required to simulate the fabric from the static drape shape of a given fabric sample. The static drape shape was inspired by Cusick's drape, which is used in the apparel industry to classify fabrics according to their mechanical properties. The input vector of the training model consists of the feature vector extracted from the static drape and the density value of a fabric specimen. The output vector consists of six simulation parameters that have a significant influence on deriving the corresponding drape result. To generate a plausible and unbiased training data set, we first collect simulation parameters for 400 knit fabrics and generate a Gaussian Mixed Model (GMM) generation model from them. Next, a large number of simulation parameters are randomly sampled from the GMM model, and cloth simulation is performed for each sampled simulation parameter to create a virtual static drape. The generated training data is fitted with a log-linear regression model. To evaluate our method, we check the accuracy of the training results with a test data set and compare the visual similarity of the simulated drapes.