The Gillette Company

Kate Budds

Leigh Knight

Katie Wilson

Robyn Dolbear

Rachel Russell

Faiz Feisal Sherman

Susan Clare Robinson

Matthew Stephen Bauer

Ian Anthony Good

Balasundram Periasamy Amavasai

Matthew Lloyd Barker

Robert Thomas Hinkle

Nigel Weston

Digital imaging systems and methods are described for analyzing pixel data of an image of a skin area of a user for determining skin hyperpigmentation. A plurality of training images of a plurality of individuals are aggregated, each of the training images comprising pixel data of a respective skin area of an individual. A skin hyperpigmentation model, trained with the pixel data, is operable to output, across a range of a skin hyperpigmentation scale, skin hyperpigmentation values associated with a degree of skin hyperpigmentation. An image of a user comprising pixel data of at least a portion of a user skin area is received and analyzed, by the skin hyperpigmentation model, to determine a user-specific skin hyperpigmentation value of the user skin area. A user-specific electronic recommendation addressing at least one feature identifiable within the pixel data is generated and rendered, on a display screen of a user computing device.

Digital imaging systems and methods of analyzing pixel data of an image of a skin area of a user for determining skin hyperpigmentation

Digital imaging systems and methods are described for analyzing pixel data of an image of a skin area of a user for determining skin dryness. A plurality of training images of a plurality of individuals are aggregated, each of the training images comprising pixel data of a respective skin area of an individual. A skin dryness model, trained with the pixel data, is operable to output, across a range of a skin dryness scale, skin dryness values associated with a degree of skin dryness. An image of a user comprising pixel data of at least a portion of a user skin area is received and analyzed, by the skin dryness model, to determine a user-specific skin dryness value of the user skin area. A user-specific electronic recommendation addressing at least one feature identifiable within the pixel data is generated and rendered, on a display screen of a user computing device.

Digital imaging systems and methods of analyzing pixel data of an image of a skin area of a user for determining skin dryness

Digital imaging systems and methods are described for analyzing pixel data of an image of a skin area of a user for determining skin puffiness. A plurality of training images of a plurality of individuals are aggregated, each of the training images comprising pixel data of a respective skin area of an individual. A skin puffiness model, trained with the pixel data, is operable to output, across a range of a skin puffiness scale, skin puffiness values associated with a degree of skin puffiness. An image of a user comprising pixel data of at least a portion of a user skin area is received and analyzed, by the skin puffiness model, to determine a user-specific skin puffiness value of the user skin area. A user-specific electronic recommendation addressing at least one feature identifiable within the pixel data is generated and rendered, on a display screen of a user computing device.

Digital imaging systems and methods of analyzing pixel data of an image of a skin area of a user for determining skin puffiness

Digital imaging systems and methods are described for analyzing pixel data of an image of a skin area of a user for determining skin oiliness. A plurality of training images of a plurality of individuals are aggregated, each of the training images comprising pixel data of a respective skin area of an individual. A skin oiliness model, trained with the pixel data, is operable to output, across a range of a skin oiliness scale, skin oiliness values associated with a degree of skin oiliness. An image of a user comprising pixel data of at least a portion of a user skin area is received and analyzed, by the skin oiliness model, to determine a user-specific skin oiliness value of the user skin area. A user-specific electronic recommendation addressing at least one feature identifiable within the pixel data is generated and rendered, on a display screen of a user computing device.

Digital imaging systems and methods of analyzing pixel data of an image of a skin area of a user for determining skin oiliness

Digital imaging systems and methods are described for analyzing pixel data of an image of a skin area of a user for determining dark eye circles. A plurality of training images of a plurality of individuals are aggregated, each of the training images comprising pixel data of a respective skin area of an individual. A dark eye circles model, trained with the pixel data, is operable to output, across a range of a dark eye circles scale, dark eye circles values associated with a degree of dark eye circles. An image of a user comprising pixel data of at least a portion of a user skin area is received and analyzed, by the dark eye circles model, to determine a user-specific dark eye circles value of the user skin area. A user-specific electronic recommendation addressing at least one feature identifiable within the pixel data is generated and rendered, on a display screen of a user computing device.

Digital imaging systems and methods of analyzing pixel data of an image of a skin area of a user for determining dark eye circles

A networked shaving appliance system includes: (a) a shaving appliance including a handle and a shaving head cartridge connected to the handle and motion, orientation, and/or pressure sensors associated with the handle and/or shaving head cartridge; (b) a sensor circuit connected to receive sensor signals and generate shave event information from the sensor signals; (c) a network circuit wirelessly connected with a computer network and communicating at least the shave event information to the computer network; and (d) a computerized tool operating, at least in part, on a computerized user device connected to the computer network. The computerized tool is configured to receive shave event data associated with a user of the computerized device from the computer network, receive user profile data from the user via a graphical user interface provided by the computerized tool, process the shave event data with the user profile data to generate user feedback information, and communicate the user feedback information to the user via the graphical user interface provided by the computerized tool.

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Reading, United Kingdom

Kate Budds