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.
You do not have full access to this article.
Already a Subscriber? Sign in as an individual or via your institution
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.