System and method for producing custom fitted face masks and applications thereof
AssigneeOceanit Laboratories, Inc.
InventorsChristopher Sullivan, Matthew Williams, Matthew Sullivan
Life of this patent
Estimating the term…
Abstract
The present invention is generally directed to systems and methods for preparing and producing a custom-fitted face mask, including, as non-limiting examples, a CPAP nasal mask and a CPAP full face mask. At least one embodiment of the invention utilizes infrared (IR) lasers, such as, for example, those found on smartphone cameras, in order to generate a 3D point cloud model of an individual's face. This point cloud model is then used to produce a custom face mask cushion, which is used to customize a generic face mask to conform to the user's specific facial geometry.
Claims14
A method for producing a custom-fitted face mask, the method comprising:
- utilizing a mobile computing device to project a matrix of infrared wavelength laser points on a person's face, wherein each laser point in the matrix has a corresponding initial location on the person's face;
- measuring one or more changes in the initial location of one or more of the infrared wavelength laser points, thereby producing one or more measurement change values;
- generating a 3D point cloud model of the person's face using the one or more measurement change values;
- and
- using the 3D point cloud model to manufacture a custom mask cushion that is capable of integrating with a generically-sized face mask, thereby producing a custom-fitted face mask for the person's face,
- wherein the using the 3D point cloud model to manufacture a custom mask cushion comprises:
- generating a uniform coordinate system for referencing equivalent points on a plurality of 3D face scans, each of the plurality of 3D face scans representing a different face;
- fitting the generically-sized face mask on to a 3D face scan in the plurality of 3D face scans and quantifying an amount of mismatch between the generically-sized face mask and the 3D face scan;
- clustering the plurality of 3D face scans to minimize an amount of overall mismatch that would result from using a fixed number of standard-sized face masks to cover all of the plurality of 3D face scans;
- and
- generating a set of exemplar face scans based on the clustering.
Dependencies are inferred from the claim text.