@Article{JFBI-17-191,
author = {Pang , Ruo-DanCui , Ming-Hai and Xu , Yan-Xia},
title = {3D Body Data Analysis of Women’s Top Sizes Aged 18-25 Years},
journal = {Journal of Fiber Bioengineering and Informatics},
year = {2024},
volume = {17},
number = {4},
pages = {191--205},
abstract = {<p style="text-align: justify; margin-top: 10px; margin-bottom: 10px;">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.<br/>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.<br/>Ultimately, a specification system for women’s shirt sizes was established, providing a novel approach
to research on body types and sizing systems.</p>},
issn = {2617-8699},
doi = {https://doi.org/10.3993/jfbim03051},
url = {http://global-sci.org/intro/article_detail/jfbi/23656.html}
}