TY - JOUR T1 - 3D Body Data Analysis of Women’s Top Sizes Aged 18-25 Years AU - Pang , Ruo-Dan AU - Cui , Ming-Hai AU - Xu , Yan-Xia JO - Journal of Fiber Bioengineering and Informatics VL - 4 SP - 191 EP - 205 PY - 2024 DA - 2024/12 SN - 17 DO - http://doi.org/10.3993/jfbim03051 UR - https://global-sci.org/intro/article_detail/jfbi/23656.html KW - Body Shape Study, 3D Scanning, Top Size, Sizing systems. AB -

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.