Patents by Inventor Avery Griffin

Avery Griffin 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).

  • Machine learning for a personal care device
    Patent number: 12479118
    Abstract: Systems, devices, and methods for applying machine learning to provide feedback related to a personal care device are described. Embodiments of the systems, devices, and methods may identify data from a device such as a razor comprising a plurality of sensors on a razor, predict one or more features such as shaving features based on the data using a machine learning model trained using data from the plurality of sensors, and provide shaving feedback based on the one or more features such as shaving features. Embodiments of the systems, devices, and methods may train a machine learning model, execute a trained machine learning model, capture and/or process data for the machine learning model, provide feedback based on the output of the trained machine learning model, or combinations thereof.
    Type: Grant
    Filed: June 24, 2021
    Date of Patent: November 25, 2025
    Assignee: Edgewell Personal Care Brands, LLC
    Inventors: Alan Blatter, James Chasen, Gregory Sweeney, Avery Griffin
  • MACHINE LEARNING FOR A PERSONAL CARE DEVICE
    Publication number: 20230211515
    Abstract: Systems, devices, and methods for applying machine learning to provide feedback related to a personal care device are described. Embodiments of the systems, devices, and methods may identify data from a device such as a razor comprising a plurality of sensors on a razor, predict one or more features such as shaving features based on the data using a machine learning model trained using data from the plurality of sensors, and provide shaving feedback based on the one or more features such as shaving features. Embodiments of the systems, devices, and methods may train a machine learning model, execute a trained machine learning model, capture and/or process data for the machine learning model, provide feedback based on the output of the trained machine learning model, or combinations thereof.
    Type: Application
    Filed: June 24, 2021
    Publication date: July 6, 2023
    Inventors: Alan Blatter, James Chasen, Gregory Sweeney, Avery Griffin