TY - JOUR T1 - Lower Body Classification of Young Women for Pants Size Optimization AU - Wen Wu, Rong Zheng & Yunchao Zhang JO - Journal of Fiber Bioengineering and Informatics VL - 4 SP - 453 EP - 465 PY - 2013 DA - 2013/06 SN - 6 DO - http://doi.org/10.3993/jfbi12201309 UR - https://global-sci.org/intro/article_detail/jfbi/4855.html KW - Lower Body Shape KW - Factor Analysis KW - Hipline KW - Abdomen-hip Differential AB - Pants fit have always been a problem in China's pant market. To qualitatively improve how well pants fit consumers, we analyzed the lower body shapes of 179 young women from an anthropometric aspect. We first used a 3D measuring method to obtain 85 measurements related to lower body shape. Then, by applying principal component factor analysis method, we used 7 principal components to describe lower body shape. The first 2 factors, heavy-thin factor and abdomen-hip factor, had the highest cumulative contribution rate, 40.475%. Therefore, the hipline of the first principal component and the abdomen-hip differential of the second principal component were used as 2 key indexes to classify the lower body into 9 types. After using both the interior extrapolation method based on interval division and the k-means cluster method to further classify the lower body shape, we concluded that the former is more suitable. Therefore, we classified lower body shape into 9 types, the coverage of which reached 80.45% of the total samples. By taking both the degree of stoutness of the lower body and the difference of abdomen-hip shape into consideration, this classification can provide a theoretical basis for pants size optimization to improve pants fit in the waist, abdomen, and hip portions.

Wen Wu, Rong Zheng and Yunchao Zhang. (2013). Lower Body Classification of Young Women for Pants Size Optimization. Journal of Fiber Bioengineering and Informatics. 6 (4). 453-465. doi:10.3993/jfbi12201309