基于7～10岁儿童防护口罩设计的面部特征OACSTPCD
Facial features based on the design of protective masks for children aged seven to ten
为设计研发更贴合儿童面部的防护口罩,运用三维扫描技术采集130名7～10岁儿童的面部数据,获取了包括面宽、形态面长、耳屏颌下弧长等10项面部指标,探索儿童面部发展规律及脸型分类.运用Pearson相关性分析挖掘各面部指标的发育相关程度,通过独立样本t检验分析面部指标在性别上的差异,使用主成分因子分析提取能反映面部数据的3个主要因子;基于主成分分析结果,结合K-means聚类将儿童脸型分为狭面型(44.9%)、中面型(32.2%)和阔面型(22.9%),提出按脸型分类进行儿童防护口罩设计的理念.
To design and develop protective masks that better fit children's faces,3D scanning technology was utilized to collect facial data from 130 children aged seven to ten.Ten facial meas-urements,including face width,morphological face length,submandibular arch length below the ear,etc.,were obtained to explore the developmental patterns and facial shape classification of children.Pearson correlation analysis was employed to investigate the developmental relationships among various facial measurements.Independent sample t-tests were conducted to analyze gender differences in facial measurements.Principal component factor analysis was used to extract three main factors that reflect facial data.Based on the results of principal component analysis,com-bined with K-means clustering,children's facial shapes were classified into narrow face type(44.9%),medium face type(32.2%),and wide face type(22.9%).The concept of designing children protective masks based on facial classification is proposed.
周捷;万晴;吴瑕玉;王思佳
西安工程大学 服装与艺术设计学院,陕西 西安 710048西安工程大学 服装与艺术设计学院,陕西 西安 710048西安工程大学 服装与艺术设计学院,陕西 西安 710048西安工程大学 服装与艺术设计学院,陕西 西安 710048
轻工业
儿童面部特征儿童口罩三维扫描性别差异相关性分析脸型分类
facial features of childrenchildren mask 3D scanninggender differencescorrelation analysisfacial classification
《西安工程大学学报》 2024 (3)
24-31,8
陕西省重点研发计划项目(2023-YBSF-203)
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