In a recent collaborative research with Drs. Heeju Park and Margaret Frey (Department of Human Centered Design, Cornell University), which was supported by Cornell’s Atkinson Center, on cloth face mask fit and function for children, our research team analyzed 44 head scans of children 4-6 years old from Human Solutions collected during Size NorthAmerica. Our PCA analysis on the face measurements demonstrated that facial width measurements were correlated with BMIs. The findings from the statistical analysis also suggested changing facemask pattern dimensions for improved fit and function. In addition to these efforts, we prepared digital counterparts of the novel cloth facemask design developed by Dr. Park’s team. We designed data collection protocols and conducted virtual fit analysis on the 44 scan files. We used both subjective/ visual evaluation methods as well as quantitative data collection from the face-facemask interfaces by using Geomagic Wrap 3D software to analyze the fit on several face shapes and suggested further improvements to the design. Additionally, our team assisted with processing one of the selected children's head scans and creating two versions of it for 3D printing. One 3D-printed model was used as a head form in the first part of the study, during which a novel face mask was developed based on a thorough analysis of commercial clothing facemasks and a survey. The findings from this study can be found in “Cloth Face Mask Fit and Function for Children Part One: Design Exploration” (Du Puis et al., 2022). The other head version was used by Dr. Frey’s team to design a novel breathing apparatus to measure the air permeability of the various facemask materials in different layering conditions. (Goodge et al., 2022)
This research on cloth face mask fit for children is fascinating! It's amazing how much detail goes into ensuring a proper and functional fit, especially considering the variations in facial features. The use of 3D scanning and printing to analyze and improve the mask designs is really innovative. It reminds me of the challenges in finding the right fit for other face-related accessories, too. For example, understanding different face shapes is key to picking out flattering sunglasses styles. Just like with masks, the right frame shape can make all the difference!
This is fascinating research! The use of 3D scanning and virtual fit analysis to improve facemask design for children is incredibly innovative. It's crucial to consider the diverse facial structures, especially how facial width correlates with BMI, to create masks that offer both comfort and protection. The iterative process of design, analysis, and refinement, as highlighted by the use of 3D-printed models, is a testament to the thoroughness of this study.
Speaking of face shapes, it reminds me how challenging it can be to understand one's own facial features. We have developed a tool that may help people, it is called AI Face Shape Detector (AI Face Shape Detector). I hope it is helpful. Great work on improving mask design…