Facial features based on the design of protective masks for children aged seven to ten
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.
facial features of childrenchildren mask 3D scanninggender differencescorrelation analysisfacial classification
国家科技期刊平台
NSTL
万方数据
