Fashion & Textile Research Journal (한국의류산업학회지)

The Society of Fashion and Textile Industry (한국의류산업학회)
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A Study on the Method of Deriving Emotional Images of Digital Materials Using KES-FB Hand Evaluation Data

KES-FB 태 평가 데이터를 활용한 디지털소재 감성이미지 도출방법 연구

  • Yoon, Hye Jun (Dept of Advanced Textile R&D Department, Korea Institute of Industrial Technology)
  • 윤혜준 (한국생산기술연구원 섬유연구부문)
  • Received : 2021.09.23
  • Accepted : 2021.10.22
  • Published : 2021.10.31
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Abstract

The purpose of this study was to obtain drape information and objective texture of fabrics easily and quickly by using a constructed fabric database. For the construction of the fabric database, 287 woven fabrics were examined by using the CLO fabric kit, KES-FB system, and drape test system. The k-means cluster analysis method was used to classify the fabrics into 7 grades. After correlation analysis of the fabric properties for each experiment, similar properties of the CLO fabric kit and KES-FB system were chosen, which were then designed to extract similar fabrics from the database. It was confirmed that inferring the drape information and objective hand feeling of fabrics was to some extent possible by extracting similar fabrics from the database. In this study, the primary hand and total hand value(THV) of KES-FB system, which was constructed by Kawabata and other experiments, were used to quantify the objective hand feeling, because they are the most widely used. However, these standards can be changed over time; in order to be applied within the clothing industry, these standards may have to be changed to some extent. Moreover, it is notable that although objective hand feeling cannot be expressed in the 3D virtual costume program, it can be easily derived from the constructed database. Additionally, it is expected that the existing 3D virtual costume program will express the costumes more realistically by improving these results.

Keywords

Acknowledgement

이 연구는 산업통상자원부 산업기술혁신사업(지식 서비스 산업핵심 기술개발사업)의 지원에 의한 결과입니다.

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