【摘要】 为寻得合理便捷的人体体型分类方法,采用三维扫描系统对年龄为20～35岁的407名中国东部地区青年女性进行人体数据获取,运用逆向工程软件对每个样本测量66项数据。通过因子分析提取与人体体型相关的主成份,通过相关性分析等方法从人体体型主成份中提取人体特征变量,通过分层法聚类分析对人体体型进行分类。研究得出:从与人体体型相关的7个主成分中提取特征变量为乳下围扁平率、身腰比、胸腰差、臀腰差;第1层聚类以乳下围扁平率作为特征变量,第2层聚类以身腰比、胸腰差、臀腰差作为特征变量;最终将人体体型分为14类。经检验,所得体型间存在显著性差异,分类结果合理有效。更多还原

【Abstract】 In order to find a reasonable and convenient classification method for somatotypes,407 Eastern China young women aged 20-35 were measured anthropometrically using a 3-D scan system,and66 somatotype indices of each sample were manually measured using reverse engineering software. The main components related to human body shapes were extracted by using factor analysis. Based on the main components,the somatotype characteristic variables were extracted using correlation analysis and other analysis methods. The characteristic variables of human body shapes were analyzed by hierarchical clustering method. Consequently,under-bust flatness ratio,ratio of height-waist,chest-waist difference and hip-waist difference were extracted from the main components. The human body shapes were divided by using the under-bust flatness ratio as the characteristic variable. The body shapes were divided into14 types based on the somatotype characteristic variables of the ratio of height-waist, chest-waist difference and hip-waist difference. The results show that significant differences between the body types exist and the classification results are reasonable and effective.更多还原