节点文献
基于有序样本最优分割法的女性体型分类
Female body shape classification based on optimal segmentation method for orderly samples
【摘要】 针对我国服装号型标准中体型分类缺乏年龄段的明确划分,为提高号型覆盖率,分析了788名年龄在18~51岁之间的女性体型数据,提取了表征女性体型特征的6个重要因子;依据每个类别因子下测量指标的贡献值大小以及各个测量指标的相关程度,选择最具代表性的特征指标作为分类参照量,通过有序样本最优分割法将女性体型按年龄段合理划分为3类:青年妇性(18~27岁),成熟女性(28~44岁),中老年女性(45~51岁),进一步分析每个年龄段的女性体型差异并对相应年龄段的女性形体进行分类,总结了3个年龄段中间体型的特征值,可为服装号型的科学修订和结构设计提供参考。
【Abstract】 Current Chinese standard sizing system for female garments shows a lack of definite age division,regardless of the body variation of different ages.In order to improve the coverage of standard sizing system,a large number of body data of 788 female subjects aging 18-51 were analyzed and six characteristic factors were extracted by factor analysis.Based on the contribution of each measurement index and correlation of one another,vital characteristic index was confirmed.And female body type was scientifically classified into three kinds:young female(18-27 years old),mature female(28-44 years old),middle and old-aged female(45-51 years old) by the optimal segmentation method for orderly samples.The body shape variation and subclassification of each kind was analyzed.Finally,the characteristic index of intermediate body type for the three kinds was obtained.It offered an excellent reference for modifying garment standard sizing system and pattern making.
【Key words】 female body shape; body shape classification; optimal segmentation method for orderly sample; characteristic index; cluster;
- 【文献出处】 纺织学报 ,Journal of Textile Research , 编辑部邮箱 ,2014年09期
- 【分类号】TS941.17
- 【被引频次】28
- 【下载频次】491