[1]申 鸿,黄元菁,杨文静,等.青年女学生胸腰体型分析与服装号型优化[J].服装学报,2025,10(03):203-209.
　SHEN Hong,HUANG Yuanjing,YANG Wenjing,et al.The Analysis of Chest and Waist Body Shapes of Young Female Students and the Optimization of Clothing Size Types[J].Journal of Clothing Research,2025,10(03):203-209.
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青年女学生胸腰体型分析与服装号型优化()

《服装学报》[ISSN:2096-1928/CN:32-1864/TS]

卷:
第10卷
期数:
2025年03期
页码:
203-209
栏目:
服装人体工学
出版日期:
2025-07-01

文章信息/Info

Title:
The Analysis of Chest and Waist Body Shapes of Young Female Students and the Optimization of Clothing Size Types
作者:
申 鸿1;  黄元菁1;  杨文静1;  张 亮2;  孟 虎*1
1. 四川大学 轻工科学与工程学院,四川 成都 610065; 2. 济南纺织服装工业设计中心,山东 济南 250101
Author(s):
SHEN Hong1;  HUANG Yuanjing1;  YANG Wenjing1;  ZHANG Liang2;  MENG Hu*1
1. College of Biomass Science and Engineering, Sichuan University, Chengdu 610065, China; 2. Jinan Textile and Clothing Industry Design Center, Jinan 250101, China
分类号:
TS 941.79
文献标志码:
A
摘要:
为完善青年女学生胸腰体型划分方法,辅助优化女性群体服装号型设计,选择18～25岁女大学生为研究对象,使用三维扫描仪采集189个有效样本数据,并选择与胸腰部位紧密相关的25个变量数据进行研究。对比分析发现:被测量女大学生群体胸腰部位较国家标准中的女子体型偏瘦; 通过主成分因子分析得到最能体现胸腰部位特征的8个变量,利用K-means动态聚类将样本中的159组数据进行聚类,划分青年女学生胸腰体型为阔胸偏胖体、平胸偏瘦体、细长偏瘦体3类,并采用组合分类法,将胸腰体型根据胸腰差与胸凸值大小进一步划分为16类。使用剩余的30组数据进行结果验证,发现16类体型的样本总覆盖率为100%。精确的体型分类,可以优化服装号型,提高着装合体性及舒适度,为服装行业挖掘青年女学生消费市场潜力提供了重要参考依据。
Abstract:
To improve the method of classifying the chest and waist body shapes of young female students and assist in optimizing the design of clothing size types for the female population, female college students aged between 18 and 25 were selected as the research subjects. 3D scanner was used to collect the data of 189 valid samples, and 25 variable data closely related to the chest and waist parts were chosen for the research. Through comparative analysis, it was found that the chest and waist parts of the measured female college students were thinner than the female body shapes specified in the national standards. Eight variables that can most reflect the characteristics of the chest and waist parts were obtained through principal component factor analysis. The K-means dynamic clustering method was employed to cluster 159 groups of data in the samples. The chest and waist body shapes of young female students were classified into three types: broad-chested and slightly plump body, flat-chested and thin body, and slender and thin body. By using the combined classification method, the chest and waist body shapes were further divided into 16 types according to the magnitude of the chest-waist difference and the chest convexity value. The remaining 30 groups of data were used to verify the results, and it was found that the total sample coverage rate of the 16 types of body shapes is 100%. A more precise classification of body shapes can optimize the clothing size types, enhance the fit and comfort of the clothes worn, and provide an important reference basis for the clothing industry to tap into the consumption market potential of young female students.

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更新日期/Last Update: 2025-06-30