Table 3. . Displays the 3D-imaging technology and key findings of several studies used to create N95 mask seals.
3D Technology | Research design/key findings | Ref. |
---|---|---|
3D laser-scanning method | Used a high-precision hand scanner, zgHandScan H100 captured up to 480,000 points per second | [27] |
3D face scanner | Created three differently face models (small, medium and large) using a 3D face scanner and developed three corresponding respirators through digital modeling; designed three silicon respirator models via rapid prototyping method | [21] |
SPG | Used to collect 3D images of subjects with and without wearing a molded, cup-shaped N95 FFRs; recorded geometric data from photographic images | [23] |
3D face scanner | Used a minimal set of landmarks to derive contact area for a half-face mask on individual human faces | [22] |
3D real-time surface-pressure mapping system | Mapping system simulated contact between six N95 FFRs and five digital headform models to understand contact pressure | [19] |
MATLAB computer-based algorithm | Developed a computer-based algorithm to determine the contact area between the headform models and N95 FFRs | [20] |
3D laser-scanning method | Recorded contact pressure between a respirator and a digital headform | [25] |
N95 FFR: N95 filtering facepiece respirator; SPG: Stereophotogrammetry.