Abstract: A method for determining geometry of a face mask comprising a main body and a seal configured to engage a nasal region, cheeks and a chin of a user. The method comprises collecting (402) facial data of the user comprising a point cloud comprising a plurality of points on a skin surface in a nasal region, eye region and chin region of the user; determining (406), based on the facial data, in at least one of the eye region and the chin region of the user, an estimated face size of the user; determining (408), based on the facial data comprising the plurality of points in the nasal region, a best-fit Gaussian curve to a profile of a nose of the user; and using the estimated face size of the user and the determined Gaussian curve to select (410) parameters for a profile geometry of the face mask.

Abstract: Firstly, a custom designed 3D printer with x-y-z gantry robot with an accuracy of 0.1 ?m was adapted with a custom designed printing head (51b). Secondly, a two component silicone elastomer suitable for RP was developed that incorporates the desired characteristics and properties similar to those commercially available for the provision of facial and body prostheses. The silicone elastomer is composed of polydimethylsiloxane (PDMS) chains, filler, catalyst and crosslinker. By varying the amount of these components the mechanical properties of the silicone elastomer can be altered, for example, tensile strength, tear strength, hardness and wettability. To achieve these desired properties consideration must also be given to the set time and viscosity of the silicone elastomer and additionally the speed at which the material is printed.

Abstract: A first method for matching skin colors comprises measuring a spectral reflectance curve of an area of skin and determining a blend of pigments to match the skin's color by combining spectral reflectance curves measured for pigments to produce a calculated spectral reflectance curve corresponding to that of the skin. The pigment blend is then used, for example, to pigment a medical prosthesis, so that it matches precisely its wearer's skin. This method avoids the problem of metamerism in which colors that match under a first illumination no longer match under a second illumination. A second method uses a database of pigment blends generated by the first method. The color of an area of skin is measured and a pigment blend is selected from the database that provides a closest match. Apparatus for carrying out such color matching is also provided, together with palettes of suitable pigments for skin color matching.

Abstract: A first method for matching skin colors comprises measuring a spectral reflectance curve of an area of skin and determining a blend of pigments to match the skin's color by combining spectral reflectance curves measured for pigments to produce a calculated spectral reflectance curve corresponding to that of the skin. The pigment blend is then used, for example, to pigment a medical prosthesis, so that it matches precisely its wearer's skin. This method avoids the problem of metamerism in which colors that match under a first illumination no longer match under a second illumination. A second method uses a database of pigment blends generated by the first method. The color of an area of skin is measured and a pigment blend is selected from the database that provides a closest match. Apparatus for carrying out such color matching is also provided, together with palettes of suitable pigments for skin color matching.