Research And Visualization Of Facial Tissue Thickness Database Of Chinese Human Head

The wearing comfort of headwear products is closely related to the biomechanical properties of the head tissue.Finite element experiments are a virtual simulation based on biomechanical properties that can be used to determine the distribution of stresses and deformations in contact between the product and the human body to support ergonomic product design.The creation of accurate finite element models relies on the thickness of the layered tissue of the face based on the craniofacial region and is closely related to race,age,and gender.Some scholars have previously measured and statistically analyzed the tissue thickness data of the Chinese population,but most of these data do not incorporate the compartmentalization of complex craniofacial surfaces and structures,and only small samples of single-layer tissues have been measured and statistically analyzed,and the final presentation is in the form of traditional data tables or research reports,which are less readable and easy to use,and the results of the study have limited significance for design guidance.Therefore,this study aims to obtain a large sample of head and facial tissue thickness data,explore the patterns of differences in Chinese head tissue thickness information,and establish a visual thickness data retrieval system to complete a closed-loop path from research to application,using data to drive the development of headwear product comfort design.This study used 1174 CT image samples in central China for tissue thickness measurement,divided the head and face into 17 anatomical regions,selected 33 feature points according to the regions,measured the total soft tissue thickness,the layered thickness of skin tissue,fat tissue,and muscle tissue,and the thickness of skeletal hard tissue for each feature point,and counted the average multilayer tissue thickness of each region to obtain a stratified and sub-regional Chinese The average multilayer tissue thickness of each region was calculated tocc obtain a stratified and sub-regional database of multilayer tissue thickness of the Chinese head and face,and to compare the effects of gender and age on FSTT and bilateral symmetry.Since facial tissue thickness databases often exist in the form of literature or data files,the retrieval process is cumbersome and inefficient.Therefore,this study uses the measured data to create a visual online retrieval platform for facial tissue thickness databases,analyses user needs through competitive product analysis and user research and designs an online data product containing feature retrieval,data retrieval,and model customization,which can meet the needs of product designers,virtual simulation engineers and researchers in related fields to retrieve and use the database,so that the database can be more widely used.The stratified partitioning of the head and face in this study is an important innovation in tissue thickness measurement,and the establishment of a large sample database based on CT images has effectively promoted the process of tissue thickness measurement in Chinese people.The tissue thickness database is an important reference for conducting virtual simulation experiments on the interaction between products and the human body,and completing the dimensional design of products.The visualized tissue thickness database retrieval system constructed in this study enhances the retrieval and use experience of the database and is an extension of the data value.