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Tightness Evaluation of Smart Sportswear Using 3D Virtual Clothing

3D 가상착의를 이용한 스마트 스포츠웨어의 밀착성 평가

  • Soyoung Kim (Advanced Material Research Center, Kumoh National Institute of Technology) ;
  • Heeran Lee (Dept. of Materials Design Engineering, Kumoh National Institute of Technology)
  • 김소영 (금오공과대학교 신소재연구소) ;
  • 이희란 (금오공과대학교 소재디자인공학과)
  • Received : 2022.09.16
  • Accepted : 2022.12.06
  • Published : 2023.02.28

Abstract

To develop smart sportswear capable of measuring biometric data, we created a close-fitting pattern using two- and three-dimensional (2D and 3D, respectively) methods. After 3D virtual fitting, the tightness of each pattern was evaluated using image processing of contact points, mesh deviation, and cross-sectional shapes. In contact-point analysis, the 3D pattern showed high rates of contact with the body (84.6% and 93.1% for shirts and pants, respectively). Compared with the 2D pattern, the 3D pattern demonstrated closer contact at the lower chest, upper arm, and thigh regions, where electrocardiography and electromyography were primarily carried out. The overall average gap was also lower in the 3D pattern (5.27 and 4.66 mm in shirts and pants, respectively). In the underbust, waist, thigh circumference, and mid-thigh circumference, the cross-section distance between clothing and body was showed a statistically significant difference and evenly distributed in the 3D pattern, exhibiting more closeness. The tightness and fit of the 3D smart sportswear sensor pattern were successfully evaluated. We believe that this study is critical, as it facilitates the comparison of different patterns through visualization and digitization through 3D virtual fitting.

Keywords

Acknowledgement

본 논문은 2020년도 정부(교육부)의 재원으로 한국연구재단의 지원을 받아 수행된 기초연구사업임(NRF-2020R1I1A3073843).

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