FAMU-FSU College of Engineering, Florida State University, Tallahassee, FL, USA.
J Expo Sci Environ Epidemiol. 2022 Sep;32(5):735-743. doi: 10.1038/s41370-021-00399-1. Epub 2021 Nov 5.
Face masks have been proven to be effective in protecting the public against airborne transmitted diseases when fitted appropriately. However, for homemade cloth masks and surgical masks, the fit is often poor, allowing viruses to escape through the gap.
This work aims to identify the correlation between the mask leakage, mask configurations, and individual's facial features.
A novel locally morphing 3D face model, and a minimum-energy-based mask deployment model are used to systematically examine the mask fit for a large cohort of exemplars.
The results show that the mask size and tuck-in ratio, along with selective facial features, especially nose height and chin length, are key factors determining the leakage location and extent. A polynomial regression model is presented for mask fitness based on localized facial features.
This study is a complete pipeline to test various masks on a wide range of faces with controlled modification of distinct regions of the face, which is difficult to achieve with human subjects, and provide knowledge on how the masks should be designed in the future.
The face mask "fit" affects the mask's efficacy in preventing airborne transmission. To date, research on the face mask fit has been conducted mainly using experiments on limited subjects. The limited sample size in experimental studies makes it hard to reach a statistical correlation between mask fit and facial features in a population. Here, we employ a novel framework that utilizes a morphable face model and mask's deployment simulation to test mask fit for many facial characteristics and mask designs. The proposed technique is an important step toward enabling personalized mask selection with maximum efficacy for society members.
当正确佩戴时，口罩已被证明能有效保护公众免受空气传播疾病的侵害。然而，对于自制的布口罩和外科口罩，其贴合度往往较差，允许病毒通过缝隙逃脱。
本工作旨在确定口罩泄漏、口罩配置和个体面部特征之间的相关性。
使用一种新颖的局部变形 3D 人脸模型和基于最小能量的口罩部署模型，系统地检查了大量样本的口罩贴合度。
结果表明，口罩尺寸和内翻比例以及选择性面部特征，特别是鼻子高度和下巴长度，是决定泄漏位置和程度的关键因素。提出了一种基于局部面部特征的口罩贴合度的多项式回归模型。
本研究提供了一种完整的方法，可在广泛的面部上测试各种口罩，并对面部的不同区域进行受控修改，这是很难用人做实验来实现的，同时还提供了有关未来口罩设计的信息。
口罩“贴合度”影响口罩防止空气传播的效果。迄今为止，对口罩贴合度的研究主要是在有限的受试者中进行实验。实验研究中的有限样本量使得很难在人群中得出口罩贴合度与面部特征之间的统计相关性。在这里，我们采用了一种新颖的框架，利用可变形人脸模型和口罩的部署模拟来测试许多面部特征和口罩设计的口罩贴合度。该技术是实现社会成员个性化口罩选择和最大功效的重要一步。
