Patents by Inventor Lauren Q. Rhee

Lauren Q. Rhee has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20250095823
    Abstract: Embodiments of the present disclosure are related to systems, methods, and computer-readable medium for image-based diet assessment. Image vignettes can form digital fingerprints that are derived from composite images of dietary patterns over a period of time, where the images can correspond to a grid of diet types and diet quality levels. Embodiments of the present disclosure include an image vignette generation and rendering process that is controlled based on a hierarchical algorithm and properties of the devices upon which the image vignettes are rendered.
    Type: Application
    Filed: August 26, 2024
    Publication date: March 20, 2025
    Inventors: David L. Katz, Catherine S. Katz, Rachna Govani, Dina L. Aronson, Lauren Q. Rhee, Austin Cameron, Udi Falkson
  • Patent number: 12073935
    Abstract: Embodiments of the present disclosure are related to systems, methods, and computer-readable medium for image-based diet assessment. Image vignettes can form digital fingerprints that are derived from composite images of dietary patterns over a period of time, where the images can correspond to a grid of diet types and diet quality levels. Embodiments of the present disclosure include an image vignette generation and rendering process that is controlled based on a hierarchical algorithm and properties of the devices upon which the image vignettes are rendered.
    Type: Grant
    Filed: June 18, 2021
    Date of Patent: August 27, 2024
    Assignee: Diet ID, Inc.
    Inventors: David L. Katz, Catherine S. Katz, Rachna Govani, Dina L. Aronson, Lauren Q. Rhee, Austin Cameron, Udi Falkson
  • Publication number: 20220328163
    Abstract: A computer infrastructure operable to implement: a) a diet identification tool configured to identify qualities of a diet of a user on a graphical user interface based on composite images selected by the user; and a composite image tool, wherein the composite image tool is populated with a library of composite images, wherein each composite image comprises an inventory of foods in specific portions, wherein each image depicts relative proportions of ingredients, dishes and meals representative of a particular diet and wherein the composite images are accessed through the graphical user interface and a computer program product comprising a computer usable medium having readable program code embodied in the medium, the computer program product including at least one component that when executed by a processor is operable to provide an assessment of a personalized diet type and quality of a user based on imputed information.
    Type: Application
    Filed: May 9, 2022
    Publication date: October 13, 2022
    Inventors: David L. Katz, Lauren Q. Rhee
  • Publication number: 20210313039
    Abstract: Embodiments of the present disclosure are related to systems, methods, and computer-readable medium for image-based diet assessment. Image vignettes can form digital fingerprints that are derived from composite images of dietary patterns over a period of time, where the images can correspond to a grid of diet types and diet quality levels. Embodiments of the present disclosure include an image vignette generation and rendering process that is controlled based on a hierarchical algorithm and properties of the devices upon which the image vignettes are rendered.
    Type: Application
    Filed: June 18, 2021
    Publication date: October 7, 2021
    Inventors: David L. Katz, Catherine S. Katz, Rachna Govani, Dina L. Aronson, Lauren Q. Rhee, Austin Cameron, Udi Falkson