남성 정장 재킷의 대량맞춤생산을 위한 체형 분류 방법

• 영문명: Body Shape Classification Method for the Mass Customization of Men’s Formal Jacket
• 발행기관: 충북대학교 생활과학연구소
• 저자명: 김인화
• 간행물 정보: 『생활과학연구논총』제27권 제1호, 79~91쪽, 전체 13쪽
• 주제분류: 자연과학 > 생활/식품과학
• 파일형태: PDF
• 발행일자: 2023.04.30

영문 초록

Background/Objectives: The purpose of present study is to develop a new body shape classification method, that can be used for the mass customization of men’s formal jackets, using variables measured on the men’s flattened body surfaces. Methods: Male participants in their 20s-50s were extracted from the 5th Size Korea database. The body surfaces were flattened into three-panels according to the conventional structure of men’s formal jackets. Variables were measured on the flattened panels, and those were inputted into the PCA. K-means clustering was conducted to categorize the flattened figure types. A logistic regression model was established to predict the body surface types. Results: 152 individuals were extracted for the body surface flattening. The 3D meshes were formed on the body surfaces, and those were flattened using distortion minimizing algorithm. Seventeen angles and two size differences were measured on the flattened figures, and five factors were extracted by the PCA. Five flattened figure types were extracted through k-means clustering: “normal”, “sway-back”, “bend-forward” “lean-back-b” and “lean-back-I”. The correspondence between the logistic regression model and K-means clustering was 90.79%. Conclusion/Implications: The classification method developed in the present study enable the quick and convenient decision of apparel customer's body shape type. It is optimized for mass customization of men's jackets because the variables were measured by converting the body surface into a jacket pattern structure.

목차

Ⅰ. 서론

Ⅱ. 연구 방법

Ⅲ. 결과 및 논의

Ⅴ. 결론 및 제언

참고문헌

키워드

Body surface flattening Body shape classification Mass customization Men’s wear Jacket pattern