Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Digital imaging systems and methods are described for analyzing pixel data of an image of a skin area of a user for determining skin pore size. 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 pore size model, trained with the pixel data, is operable to output, across a range of a skin pore size scale, skin pore size values associated with a degree of skin pore size. 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 pore size model, to determine a user-specific skin pore size 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A shaving appliance includes: (a) a handle and a shaving head cartridge connected to the handle; (b) motion, orientation, and/or pressure sensors associated with the handle and/or the shaving head cartridge; (c) a cartridge replacement sensor/circuit; (d) a sensor circuit connected via a data connection to receive sensor signals from the motion, orientation and/or pressure sensors, to receive a new cartridge event signal from the cartridge replacement sensor/circuit, and to generate cumulative shave event information from the sensor signals upon receiving a new cartridge event signal; and (e) a notification circuit communicating cumulative shave event information to a user.

Abstract: 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.

Abstract: A shaving appliance includes: a handle and a shaving head connected to the handle; a plurality of sensors provided in the shaving head and/or handle; a sensor circuit connected via a data connection to receive sensor signals from the plurality of sensors and to generate shave stroke direction information from the sensor signals; and a notification circuit determining relative shave stroke direction information for a user from the shave stroke direction information and from hair growth direction information electronically stored with respect to the user.

Abstract: A method for generating user feedback information from a shave event associated with a user. A shaving razor is provided to user. The shaving razor includes a handle, a hair cutting implement connected to the handle, at least one motion sensor in the handle, a communication device associated with the handle and a power source associated with the handle. The power source powers the at least one motion sensor and the communication device. User profile data is collected from the user. Shave event data associated with the user during a shave is collected from the at least one motion sensor. The shave event data and user profile data are processed to generate user feedback information. The user feedback information is communicated to the user.

Abstract: A method for generating user feedback information from a shave event associated with a user. A shaving razor is provided to user. The shaving razor includes a handle, a hair cutting implement connected to the handle, at least one motion sensor in the handle, a communication device positioned in the handle and a power source positioned in the handle. The power source powers the at least one motion sensor and the communication device. User profile data is collected from the user. Shave event data associated with the user during a shave is collected from the at least one motion sensor. The shave event data and user profile data is processed to generate user feedback information. The user feedback information is communicated to the user.

Abstract: An improved package, suitable for holding a treatment fluid comprising a volatile solvent and kits comprising the package containing the treatment fluid and an applicator are disclosed. The package comprises a reservoir for the liquid which is sealed by a ruturable seal. A cap, coupled to one end of the reservoir, is in the form of a sleeve which is axially translatable along the reservoir from first to second positions. A cutting tool integrated with the cap ruptures the rupturable seal as the cap is moved from first to second positions so that the liquid can thereby be made accessible through an opening in an end wall of the cap. The package provides excellent protection for volatile liquids, yet can be easily opened by a simple press-action, instantly providing access to the liquid so that it can subsequently accessed by a liquid applicator.

Abstract: The present invention relates to an improved package, suitable for holding a treatment fluid comprising a volatile solvent.