东北女青年下身体型分类及数学模型建立

Classification of Lower Somatotype and Mathematical Models of Young Women in Northeast China

为提高裤装的合体性,以18~25岁东北女青年为研究对象,通过VITUS三维人体扫描仪测量677个样本的身体尺寸,选取24项下身部位的特征变量。采用主成分分析法得到影响下身体型特点的3大因子:横向因子、高度因子和裆部因子。依据3大因子选取腰围、身高、周裆长3个变量作为分类指标,运用K-means聚类法对下身体型进行分类,将东北女青年下身体型分成中等身高胖体、高挑标准体、瘦小体3类,分别占比16.1%,35.3%,48.6%。根据各项特征指标的Pearson相关性分析结果,以身高与腰围作为自变量,对腰围高、会阴高、臀围等12项与裤装相关的特征指标进行逐步回归分析,建立各类体型数学模型,为合体裤装结构的制作打下基础。

In order to improve the fitness of pants,this paper took 18~25 years old young women in Northeast China as the study objects.The body sizes of 677 samples were measured by VITUS 3-D human body scanner,and 24 lower body parts'characteristic variables were selected for analysis.With principal component factor analysis method,three principal components factors affecting the shape of lower body were obtained:the factor of transverse,height and crotch.Three categorical variables including waist girth,height and circumference length were selected.K-means clustering method was used to classify the lower body shape of the young women in Northeast China into three categories:medium height fat body,tall standard body and thin body,accounting for 16.1%,35.3%and 48.6%,respectively.According to Pearson correlation analysis,taking height and waist circumference as independent variables,the stepwise regression analysis was carried out on 12 variables related to pants,such as waist girth,perineum height and hip girth and so on.Then the mathematical models of various body types were established for making suitable trousers structure.