Anthropometry and Face Mask Fit Analysis through Inward Leakage Testing
The purpose of this research is to improve the fit of masks for healthcare workers. Many factors influence mask fit for the most effective virus protection, including a contour around the nose bridge, overall face shape, and appropriate facial seal performance. This study seeks to determine how these factors impact mask performance through analysis of 3D scans and mask fit data collected by the Human Dimensioning Lab in 2021. To prepare for anthropometric analysis, .obj 3D face scans were cleaned and measured using Artec software, Anthroscan, and Rhino. Several facial landmarks were identified for fit following these ISO standards, as well as new additional locations discerned from previous mask fit research. Face shapes were categorized based on key mask fit areas: nose, chin, cheeks, and overall. In order to perform measurements, the 3D geometry scans and face shape categories from the fit mask studies were analyzed next to participant fit test data. The outcomes of this project were garnered through the comparative analysis of this fit testing data collection. By understanding how masks fit a diverse population through anthropometric analysis, it could provide a safe alternative to healthcare professionals who critically depend on airborne virus protection in order to perform their work. This is an especially important potential resource during times of N95 shortages, such as what we have seen with the current presence of the SARS-CoV-2 virus that can lead to COVID-19 through airborne transmission without properly fitting protective masks.