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35–54세여성의 토르소 형태 분류에 관한 연구 - 제8차 Size Korea 인체형상으로부터 추출한 측정값을 이용하여 -

Classification of Torso Shapes of Women Aged 35–54 - Based on Measurements Extracted from the 8th Size Korea Scans -

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참고문헌

키워드

주제분류생활과학

초록

Body shape is the most influential factor in determining the quality of clothing fit. Women’s body shape beginsto change significantly in their mid-30s; therefore, this study aimed to classify and analyze the torso shapes of womenaged 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 mea-surement values were generated. Using principal component analysis, 11 components (overall body size, upper bodylength, back protrusion, upper body slope, neck position, neck inclination, hip length, bust prominence, abdominal prom-inence, shoulder slope, and buttock prominence) were extracted. Three torso types were identified using K-means clus-ter 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 andforward upper body. Its abdomen is the flattest, and its shoulders are the most sloped. Type 3 (31.5%) has the shortestupper body, the most protruding hips, and the largest overall body size. This paper proposes two discriminant functionsfor identifying a new person’s torso type.

Abstract

Body shape is the most influential factor in determining the quality of clothing fit. Women’s body shape beginsto change significantly in their mid-30s; therefore, this study aimed to classify and analyze the torso shapes of womenaged 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 mea-surement values were generated. Using principal component analysis, 11 components (overall body size, upper bodylength, back protrusion, upper body slope, neck position, neck inclination, hip length, bust prominence, abdominal prom-inence, shoulder slope, and buttock prominence) were extracted. Three torso types were identified using K-means clus-ter 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 andforward upper body. Its abdomen is the flattest, and its shoulders are the most sloped. Type 3 (31.5%) has the shortestupper body, the most protruding hips, and the largest overall body size. This paper proposes two discriminant functionsfor identifying a new person’s torso type.

참고문헌 (16)

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