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3D Body Data Analysis of Women’s Top Sizes Aged 18-25 Years

3D Body Data Analysis of Women’s Top Sizes Aged 18-25 Years

Year:    2024

Author:    Ruo-Dan Pang, Ming-Hai Cui, Yan-Xia Xu

Journal of Fiber Bioengineering and Informatics, Vol. 17 (2024), Iss. 4 : pp. 191–205

Abstract

Few studies in China use age as a criterion for garment size analysis in female body shape research. This project addresses the challenge of designing clothing that fits young women aged 18-25 by examining their upper body shapes. Combining Martin measurements and three-dimensional scanning, data on 198 women’s body characteristics were collected, and morphological changes in their upper bodies were analysed.
The upper body shapes were categorised into four types, and representative silhouettes were compared. The body shape classification results were combined with the national chest-waist difference classification method. The primary control variables for women’s shirt sizing were determined, and a linear regression equation was used to obtain the segmented values for each control variable.
Ultimately, a specification system for women’s shirt sizes was established, providing a novel approach to research on body types and sizing systems.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.3993/jfbim03051

Journal of Fiber Bioengineering and Informatics, Vol. 17 (2024), Iss. 4 : pp. 191–205

Published online:    2024-01

AMS Subject Headings:   

Copyright:    COPYRIGHT: © Global Science Press

Pages:    15

Keywords:    Body Shape Study 3D Scanning Top Size Sizing systems.

Author Details

Ruo-Dan Pang

Ming-Hai Cui

Yan-Xia Xu