摘要
为完善特定人群肩部形态分类,提高上装结构设计的合体性,借助三维人体扫描仪获取176名18~25周岁的胶东地区青年女性肩部数据并运用SPSS软件进行统计分析。通过主成分因子分析提取影响肩部形态特征的五大形态因子,提出了肩部“整体形态”与“正面形态+侧面形态+背面形态”相结合的分类方法,通过K-means聚类分析对人体肩部进行分类。研究结果将肩部结构分为5类:厚肩型、薄肩型、斜肩型、宽肩型和正常型,经过验证,分类结果有效合理并建立分类规则,为胶东地区青年女性肩部形态的细分提供数据参考。
In order to improve the shoulder shape classification of specific population and improve the appropriateness of the upper structure design,the study obtained shoulder data of 176 young women aged 18~25 in Jiaodong area with 3 D body scanner.The data were statistically analyzed by SPSS software.The five morphological factors affecting shoulder shape characteristics were extracted by principal component factor analysis.The classification method of shoulder“whole shape”and“front shape+side shape+back shape”was put forward,and the human shoulder shapes were classified by K-means cluster analysis into five types:thick shoulder type,thin shoulder type,oblique shoulder type,wide shoulder type and normal type.The classification results are proved to be effective and reasonable,and the classification rules are established.The study provides data reference for the subdivision of shoulder shape of young female in Jiaodong area.
作者
李文熙
赵美华
LI Wen-xi;ZHAO Mei-hua(School of Textile and Clothing,Qingdao University,Qingdao 266071,China)
出处
《北京服装学院学报（自然科学版）》
CAS
北大核心
2022年第4期35-42,共8页
Journal of Beijing Institute of Fashion Technology：Natural Science Edition
基金
青岛大学教学研究与改革项目(41317030043)
关键词
胶东地区
青年女性
肩部形态
因子分析
聚类分类
回归模型
Jiaodong area
young women
shoulder shape
factor analysis
cluster classification
regression model
作者简介
李文熙(1994—),女,硕士研究生,E-mail:1282498745@qq.com;通信作者:赵美华(1982—),女,副教授,主要研究方向为服装数字化与电子商务,E-mail:jennymhzhao@126.com。
