Fashion & Textile Research Journal (한국의류산업학회지)

The Society of Fashion and Textile Industry (한국의류산업학회)
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Classification of Torso Shapes of Women Aged 35-54 - Based on Measurements Extracted from the 8th Size Korea Scans -

35-54세 여성의 토르소 형태 분류에 관한 연구 - 제8차 Size Korea 인체형상으로부터 추출한 측정값을 이용하여 -

  • Yu Rui (Dept. of Clothing and Textiles, Kyung Hee University) ;
  • Eun Joo Ryu (Dept. of Fashion Industry, Ewha Womans University) ;
  • Hwa Kyung Song (Dept. of Clothing and Textiles, Kyung Hee University)
  • ;
  • 유은주 (이화여자대학교 의류산업학과) ;
  • 송화경 (경희대학교 의상학과)
  • Received : 2023.08.07
  • Accepted : 2023.08.30
  • Published : 2023.10.31
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Abstract

Body shape is the most influential factor in determining the quality of clothing fit. Women's body shape begins to change significantly in their mid-30s; therefore, this study aimed to classify and analyze the torso shapes of women aged 35-54 years. This study selected 200 3D body scans of women from the 8th Size Korea Survey database (2021). Using the Grasshopper algorithm developed in a previous study, 17 landmarks were automatically detected and 57 measurement values were generated. Using principal component analysis, 11 components (overall body size, upper body length, back protrusion, upper body slope, neck position, neck inclination, hip length, bust prominence, abdominal prominence, shoulder slope, and buttock prominence) were extracted. Three torso types were identified using K-means cluster analysis. The three body types were significantly different on nine component scores. Among the three torso types, Type 1 (37.5%) has the longest upper body and the flattest back and hips. Type 2 (31.0%) has the most curved back and forward upper body. Its abdomen is the flattest, and its shoulders are the most sloped. Type 3 (31.5%) has the shortest upper body, the most protruding hips, and the largest overall body size. This paper proposes two discriminant functions for identifying a new person's torso type.

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Acknowledgement

이 논문은 2022년 대한민국 교육부와 한국연구재단의 인문사회분야 중견연구자지원사업의 지원을 받아 수행된 연구임(NRF-2022S1A5A2A01045177).

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