Abstract: A method of predicting a resulting hue, tint, tone, or shade of a lipstick product on a user includes generating one or more instances on a graphical user interface indicative of a predicted applied lipstick hue, tint, tone, or shade based on receiving user lip-hue information and a lipstick product selection; and generating one or more instances on a graphical user interface of a lipstick product predicted to result in a hue, tint, tone, or shade, on the user, based on the received user lip-hue information and a desired coated lip-hue.

Abstract: A computer system obtains digital video data of at least one physical consumer product (two or more cosmetics products) in a personal care routine; analyzes the digital video data (e.g., using automated object recognition or gesture recognition techniques); detects at least one physical interaction with the at least one physical consumer product (e.g., two or more applications of cosmetics products) based at least in part on the analysis of the digital video data; and causes customized personal care routine data (e.g., a computer animation simulation or a comparison of the user's routine with routines of other users) to be presented in a user interface. The customized personal care routine data is based at least in part on the at least one physical interaction.

Abstract: A method for predicting applied lipstick color includes extracting reference hue information from one or more digital images of a plurality of lip-tone cards, each lip-tone card including a plurality of lip-tone swatches, a white swatch, and a black swatch; extracting applied hue information from one or more digital images of a plurality of lip-tone cards coated with lipstick; and generating a predicted applied lipstick color based on the extracted applied hue information and one or more inputs indicative of a lipstick selection.

Abstract: A computer system obtains digital video data of at least one physical consumer product (two or more cosmetics products) in a personal care routine; analyzes the digital video data (e.g., using automated object recognition or gesture recognition techniques); detects at least one physical interaction with the at least one physical consumer product (e.g., two or more applications of cosmetics products) based at least in part on the analysis of the digital video data; and causes customized personal care routine data (e.g., a computer animation simulation or a comparison of the user's routine with routines of other users) to be presented in a user interface. The customized personal care routine data is based at least in part on the at least one physical interaction.

Abstract: A computer system obtains digital video data of at least one physical consumer product (e.g., two or more cosmetics products) in a personal care routine; analyzes the digital video data (e.g., using automated object recognition or gesture recognition techniques); detects at least one physical interaction with the at least one physical consumer product (e.g., two or more applications of cosmetics products) based at least in part on the analysis of the digital video data; and causes customized personal care routine data (e.g., a computer animation simulation or a comparison of the user's routine with routines of other users) to be presented in a user interface. The customized personal care routine data is based at least in part on the at least one physical interaction.

Abstract: A method for predicting applied lipstick color includes extracting reference hue information from one or more digital images of a plurality of lip-tone cards, each lip-tone card including a plurality of lip-tone swatches, a white swatch, and a black swatch; extracting applied hue information from one or more digital images of a plurality of lip-tone cards coated with lipstick; and generating a predicted applied lipstick color based on the extracted applied hue information and one or more inputs indicative of a lipstick selection.

Abstract: A method of predicting a resulting hue, tint, tone, or shade of a lipstick product on a user includes generating one or more instances on a graphical user interface indicative of a predicted applied lipstick hue, tint, tone, or shade based on receiving user lip-hue information and a lipstick product selection; and generating one or more instances on a graphical user interface of a lipstick product predicted to result in a hue, tint, tone, or shade, on the user, based on the received user lip-hue information and a desired coated lip-hue.

Abstract: A computer system obtains digital video data of at least one physical consumer product (two or more cosmetics products) in a personal care routine; analyzes the digital video data (e.g., using automated object recognition or gesture recognition techniques); detects at least one physical interaction with the at least one physical consumer product (e.g., two or more applications of cosmetics products) based at least in part on the analysis of the digital video data; and causes customized personal care routine data (e.g., a computer animation simulation or a comparison of the user's routine with routines of other users) to be presented in a user interface. The customized personal care routine data is based at least in part on the at least one physical interaction.

Abstract: In some embodiments of the present disclosure, a system for processing three-dimensional face scan data is provided. A three-dimensional scanner produces an image of a face including an area of interest that includes an eyebag area. A profile of the eyebag area is determined by the system. In some embodiments, the profile is determined based on a vertical slice at the center of the eyebag area. Profiles for multiple sets of scan data may be compared to determine quantitative differences between eyebag profiles. These differences may be used for quantitatively comparing the effects of products applied to the eyebag area between scans. These differences may also be used for predictively generating three-dimensional models to illustrate predicted effects of the use of a product on a face.

Abstract: A system including processing circuitry configured to receive a captured image of a user; generate a three-dimensional (3D) image of the user based on the captured image of the user; control display of an interface for receiving a selection or adjustment of a feature on the 3D image from the user; and perform adjustment of the feature on the 3D image based on the received selection or adjustment of the feature of the user to generate an updated 3D image.

Abstract: In some embodiments of the present disclosure, a system for processing three-dimensional face scan data is provided. A three-dimensional scanner produces an image of a face including an area of interest that includes an eyebag area. A profile of the eyebag area is determined by the system. In some embodiments, the profile is determined based on a vertical slice at the center of the eyebag area. Profiles for multiple sets of scan data may be compared to determine quantitative differences between eyebag profiles. These differences may be used for quantitatively comparing the effects of products applied to the eyebag area between scans. These differences may also be used for predictively generating three-dimensional models to illustrate predicted effects of the use of a product on a face.

Abstract: An in vitro screening system includes a friction assembly including at least one motorized friction structural component configured to engage and remove material on a substrate and an analytics assembly including at least one sensor and circuitry configured to generate cleanser-specific material removal information responsive to a detected response associated with removal of a material on a substrate by the friction structural component.