• Journal of the Korea Fashion and Costume Design Association
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• v.12 no.2
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• pp.119-129
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• 2010

오늘날 인간의 수명이 연장되고, 웰빙과 건강에 대한 관심이 증가됨에 따라서 언제 어디서나 건강을 모니터링 할 수 있는 건강 스마트 의류 시스템이 개발되고 있다. 이를 위하여 최근에는 생체신호의 모니터링이 가능하도록 디자인된 의류에 통합된 형태의 직물 전극이 개발되고 있다. 혁신적으로 의류 시스템에 통합되어 착용 가능한 니트, 우븐, 자수방식의 텍스타일 전극에 대한 다양한 연구가 개발 제시되고 있으며, 이의 일부는 상용화되어 있다. 이에 본 연구는 경위사의 일정한 직조제어 자동화 시스템이 가능한 컴퓨터 자카드 직기의 캐드(CAD) 직조디자인 방식을 통하여 생체신호 센싱 기능이 향상된 새로운 텍스타일 전극디자인을 연구하고자 하였다. 이를 위하여 본 연구에서는 기존 생체신호 센싱 전극의 개발 및 연구 동향, 비직물/전극 타입에 대한 단점과 장점에 대한 비교 분석을 이론적으로 살펴보고, 자카드 직조 직물 기반으로 심전도 센싱용 텍스타일 전극을 디자인하여 실험 연구하였다. 자카드 직조 방식의 심전도 센싱용 직물 전극은 전극 인터페이스 디자인 방식, 이중직물형 직조 디자인 방식, 사가공 등의 요인들을 고려하여 개발하였다. 본 연구에서 도출된 최종 자카드 직조 직물 기반의 텍스타일 전극은 스마트 의류에 통합시킨 텍스타일 전극 모듈로서 적용되여 향후 상용화 방안을 모색할 수 있다.

• Proceedings of the Korean Society of Dyers and Finishers Conference
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• 2012.03a
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• pp.99-99
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• 2012

소비자의 기호가 다양화되면서 다품종 소량생산에 따른 대량 맞춤화에 대한 관심이 높아지고 있으며, 1990년대 후반부터 급격히 확산되고 있는 인터넷의 발달 및 디지털 기기의 확산에 따라 인터넷을 기반으로 한 전자상거래 환경에서의 대량 맞춤화 프로세스는 최근 의류 분야에서 주요한 경향으로 받아들여지고 있다. 대량 맞춤화 의류 제품의 수요는 인터넷 등 IT 기술의 발달과 맞물려 최근 개인의 특성과 취향을 고려한 인터넷 맞춤서비스를 기반으로 증가추세에 있으며, CAD 등의 테크놀러지의 활용을 통하여 디자인, 패턴제작, 재단 등의 자동 시스템을 도입함으로써 그 영역을 확장하고 있다. 이에 발맞추어 국내에서는 '디지털 패션 시스템'을 통해 3차원 바디 스캔, 3차원 컴퓨터 그래픽스, 3차원 Simulation, DID, DTP, 맞춤주문형 제품의 대량 생산기술 등의 단위 기술이 기업단위로 활용되는 등 가상현실을 이용한 3차원 가상쇼핑 등을 포함하는 기술로서 차세대 섬유패션 산업의 창출에 기여하고 있다. 그 중, 디지털 텍스타일 프린팅은 디자인에서부터 날염까지 전체 공정을 컴퓨터로 처리하여 기존의 복잡한 날염 공정을 단축하여 다품종 소량생산이 가능한 날염 방식으로, 대량 맞춤형 프로세스를 지원하며, 프로슈머(prosumer)로서의 소비자가 직접 참여하여 그들의 욕구를 최대화 할 수 있는 소비자 만족을 극대화 시킬 수 있는 대량 맞춤화 프로세스 중 하나의 단계로 소비자의 수요 반영하는 요소로 작용하고 있다. 즉, 디지털 패션 시스템에서의 디지털 텍스타일 프린팅은 대량 맞춤형 의류 제품에 있어 소비자 만족도와 직결되는 요인으로 분석된다. 따라서, 본 연구에서는 디지털 패션 시스템 기반의 대량맞춤형 섬유제품 및 디지털 텍스타일 프린팅 적용 섬유제품에 대한 기초 평가 문항을 제시하고, 소비자 태도를 분석하여 제시하였다. 또한, 분석된 기초 소비자 태도를 반영하여, 디지털 패션 시스템 기반의 디지털 텍스타일 프린팅(Digital Textile Printing) 의류 제품의 선호도, 인지도, 수요도 및 구입의향을 분석하여 최종적으로 디지털 패션 시스템에 적용된 디지털 텍스타일 프린팅 의류 제품의 수요 경향을 제시하였다.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2002.11a
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• pp.85-96
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• 2002

Entering the period of Mass Customization, and with the help of the Digital Textile Printing technology, the purpose of this study is to propose two customer involved design process models, based on the Digital Textile Printing technology, and to compare their efficiencies and appropriateness with those of the existing design process model, which would lead us to discover the possibilities of Mass Customized design process. By the result obtained from the survey of 166 females in their twenties and thirties, the second Mass Customized design process model which gave most choices to prosumers was preferred the most, while the existing design process which gave no choice seemed to be preferred the least, and among the design elements of textile, color appeared to be the most significant influential factor in the preference of the clothing by the consumers. In summary, it appeared that every aspect of the society requires a shift in the process of the thought from Mass Production to Mass Customization at this point, and a guideline was made from the Mass Customized design process suggested in this study.

• Smart Media Journal
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• v.12 no.7
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• pp.43-51
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• 2023

As online transactions increase, the image of clothing has a great influence on consumer purchasing decisions. The importance of image information for clothing materials has been emphasized, and it is important for the fashion industry to analyze clothing images and grasp the materials used. Textile materials used for clothing are difficult to identify with the naked eye, and much time and cost are consumed in sorting. This study aims to classify the materials of textiles from clothing images based on deep learning algorithms. Classifying materials can help reduce clothing production costs, increase the efficiency of the manufacturing process, and contribute to the service of recommending products of specific materials to consumers. We used machine vision-based deep learning algorithms ResNet and Vision Transformer to classify clothing images. A total of 760,949 images were collected and preprocessed to detect abnormal images. Finally, a total of 167,299 clothing images, 19 textile labels and 20 fabric labels were used. We used ResNet and Vision Transformer to classify clothing materials and compared the performance of the algorithms with the Top-k Accuracy Score metric. As a result of comparing the performance, the Vision Transformer algorithm outperforms ResNet.

• Journal of Convergence for Information Technology
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• v.11 no.11
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• pp.151-158
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• 2021

In this paper, we analyzed the latest research trends, challenges, and potential applications of next-generation solar cell materials in various industrial fields. In addition, future prospects and possibilities of Smart Textile Hybrid Energy Harvesting Devices that will supply electricity by combining with wearable IoT devices are presented. The hybrid textile energy harvesting device fused next-generation solar cells with tribo-piezoelectric devices will develop into new 'Convergence Integrated Smart Wear' by combining the material itself with wearable IoT devices in the era of the 4th industrial revolution. The next-generation nanotechnology and devices proposed in this paper will be applied to the field of smart textile with an energy harvesting function. And we hope it will be a paradigm shift that evolves into creative products which provide AI services such as medical & healthcare by convergence with the future smart wear industry.

• Fashion & Textile Research Journal
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• v.18 no.6
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• pp.733-745
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• 2016

This paper provides a review of wearable textile strain sensors that can measure the deformation of the body surface according to the movements of the wearer. In previous studies, the requirements of textile strain sensors, materials and fabrication methods, as well as the principle of the strain sensing according to sensor structures were understood; furthermore, the factors that affect the sensing performance were critically reviewed and application studies were examined. Textile strain sensors should be able to show piezoresistive effects with consistent resistance-extension in response to the extensional deformations that are repeated when they are worn. Textile strain sensors with piezoresistivity are typically made using conductive yarn knit structures or carbon-based fillers or conducting polymer filler composite materials. For the accuracy and reliability of textile strain sensors, fabrication technologies that would minimize deformation hysteresis should be developed and processes to complement and analyze sensing results based on accurate understanding of the sensors' resistance-strain behavior are necessary. Since light-weighted, flexible, and highly elastic textile strain sensors can be worn by users without any inconvenience so that to enable the users to continuously collect data related to body movements, textile strain sensors are expected to become the core of human interface technologies with a wide range of applications in diverse areas.

• Science of Emotion and Sensibility
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• v.18 no.3
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• pp.93-106
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• 2015

In accordance with escalating demands for advanced technology products, the smart clothing that includes embedded ICT technology have expanded into fields of daily life. As a result of this trend, interest in smart clothing with digitally controllable heating has rapidly grown and the market for smart heated clothing has also expanded. Increasing of prospect in smart heated clothing market, the effectiveness and thermal sensation research of the location on the pad attached is insufficient. This study was conducted to find the optimal location of heated clothing via experimental research on changes in skin temperature and subjective thermal sensation when heating pads were placed on different areas of the body. For this experiment, the subjects consisted of 10 males in their 20's of standard physique. The skin temperature at 11 different areas of the body, rectal temperature, and subjective thermal sensation were taken at different stages (before testing, after a 20 minute rest period, 20 minute treatment period, and after a 40 minute recovery period) in an artificial-climate chamber at $-5^{\circ}C$. As a result, the optimal location for heating pads in smart clothing was estimated and suggested.

• Science of Emotion and Sensibility
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• v.20 no.4
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• pp.89-100
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• 2017

Since smart devices are able to efficiently provide information without barriers of time and location, they are widely utilized with advent of the hyper-connected society. Especially, the smart devices have been developed in the form of wearable devices for mutual interaction between human and objects. Smart clothing, which embeds smart devices within clothes, measures and obtains a variety of bio-signals as it is in close contact with the human bodies. Conventional smart clothing generated wearers' discomfort because they were developed by simple attachment of electronic devices to clothes. Therefore, it is highly recommended to develop novel smart clothing based on smart textiles which integrate electronic devices as parts of textiles. As smart watches are currently the most available wearable devices in the market, smart watch users were selected in this study, for the purpose of investigating core needs of wearable smart device users based on the user experience and user's sensibility. Qualitative research was performed through semi-structured interview in order to obtain detailed answers about user sensibility based on smart watch user experience. After the in-depth interview, the user's sensibility was categorized into four aspects; functional, aesthetic, social, and empirical. Sensibility adjectives and key words were assigned to each aspect and their frequency was analyzed. It was the functional aspect of sensibility that the wearable device users require the most. The results of this study will be utilized as a fundamental data to develop the smart textiles required for the next generation of smart clothing which is attracting as a future wearable device.

• Journal of the Korean Society of Clothing and Textiles
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• v.20 no.1
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• pp.183-196
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• 1996

The purpose of this study was to analyze the influnce of Postmodernism on 90's fashion trends, and to present applications of it's inspiration to print design. 90's fashion trends represented in fashion magazines, in fashion trend reports, and in related books were anlyzed. Informations referring to two selected target markets were collected by phone interview. In 90's fashion trends, seven fashion images seemed to be influenced from Postmodernism emerged. Based on these seven fashion images, several print designs were created and developed for one domestic market and for one export market.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2009.05a
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• pp.135-138
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• 2009

포토닉 의류는 의류에 다양한 광원과 광전달 소재를 적용하여 빛을 발현하는 디지털 기술을 적용하여 의류의 색채를 제어함으로써 착용자의 감성을 시각화할 수 있도록 하는 스마트 의류의 일종이다. 앞서 개발한 포토닉 의류의 중 LED램프와 광섬유의 조합으로 색광을 발현하는 기능은 특별히 RGB 색조합을 통해 의도하는 색채를 다양하게 구현할 수 있다는 특징이 있다. 현재 색채 발현 방법은 Red, Green, Blue의 3가지 색상의 LED의 적절한 조합을 통하여 색채를 발현하는 방식을 가지고 있으나 색체계 상의 기준 색상과 실제 발현되어 육안으로 확인되는 색채의 차이가 있어 의도와는 다른 색채가 나타나 디자이너의 색채 기획의도를 포토닉 의류에 적용하기 힘들며, 기존의 색체계에 의해 생산된 다른 텍스타일 색채와의 컬러 조합에 있어서 필요한 정확한 데이터를 얻기 어렵다. 따라서, 포토닉 의류에 의도하는 색채를 발현하기 위해서는 기존 색상과의 차이점 보정과 효과적인 데이터 베이스 구축이 필요하다. 본 연구에서는 포토닉 의류의 색채에 관한 보다 체계적인 연구를 통해 웹 컬러와 광섬유를 이용한 포토닉 컬러에서의 색채 이미지를 비교, 분석하고 RGB값과 색차값을 통한 차이점 보정을 참고하여 광섬유를 사용하여 제작되는 스마트 포토닉 의류의 제작 시 색채선정 기획에 있어서 기초적인 자료로 활용될 수 있도록 제시하고자 한다.