Key Laboratory of Industrial Design and Ergonomics, Ministry of Industry and Information Technology, Xi'an, China.
Shaanxi Engineering Laboratory for Industrial Design, Northwestern Polytechnical University, Xi'an, China.
Work. 2022;73(1):335-352. doi: 10.3233/WOR-210799.
Comprehension of the complex shape of the auricle and how it differs in terms of factors such as sex, age, and side have become an imperative aspect of the fabrication and service delivery of products that are natural, functional, and healthy for users.
This study was aimed at providing a clear understanding of the anthropometric characteristics based on age, sex, size, and side and shape type of the auricles of mainland Chinese samples.
Casting and 3D scanning were employed to obtain eighteen auricular measurement variables from 1120 subjects (aged 15-79). Examination of sex-related and bilateral differences were conducted. Furthermore, factor analysis was employed to establish the factors associated with the variations in auricular shape. Also, hierarchical cluster analysis was performed to classify the auricular shapes of individuals.
The auricular inclination angle, conchal depth and tragal height did not exhibit any specific trend across the age groups. No significant bilateral difference was observed in both genders. The auricular shapes were classified into five types according to six major factors.
It was observed that measurement variables of the Chinese auricles changed continuously with age, with most of the linear variables exhibiting a steady increase. The apparent strong association between the auricular types and age groups indicate that a person's auricular shape may change with age.
理解耳廓的复杂形状以及其在性别、年龄和侧别等因素方面的差异,已成为为用户提供自然、功能健全和健康的产品制造和服务交付的必要方面。
本研究旨在为中国内地人群样本的耳廓提供基于年龄、性别、大小和侧别以及形状类型的人体测量特征的清晰理解。
通过对 1120 名(年龄 15-79 岁)受试者进行铸型和 3D 扫描,获得 18 个耳廓测量变量。对性别相关和双侧差异进行了检查。此外,还进行了因子分析,以确定与耳廓形状变化相关的因素。同时,还进行了层次聚类分析,以对个体的耳廓形状进行分类。
耳廓倾斜角、耳甲腔深度和耳屏高度在各年龄组之间没有特定的趋势。男女两性均未观察到明显的双侧差异。根据六个主要因素,将耳廓形状分为五种类型。
观察到中国人的耳廓测量变量随年龄不断变化,大多数线性变量呈稳步增长。耳廓类型与年龄组之间明显的强关联表明,一个人的耳廓形状可能会随年龄而变化。