Patents by Inventor Jonathon G. Neville

Jonathon G. Neville 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).

  • Sports operating system
    Patent number: 11806579
    Abstract: In one embodiment, a method includes accessing, by one or more computing devices, user sensor data from one or more wearable sensors on one or more players and optical sensor data from one or more cameras, where the user sensor data includes location data of the player and acceleration data, and where the optical sensor data includes several frames portraying the players and several scenes from an athletic event. The one or more computing devices analyzes, using a machine-learning model, the optical sensor data to identify the players and one or more actions during the athletic event and calculates one or more player metrics for the players based on the user sensor data and the identified actions. The one or more computing devices normalizes the player metrics for the players based on one or more weighted parameters and provides a report to one or more users.
    Type: Grant
    Filed: September 16, 2021
    Date of Patent: November 7, 2023
    Assignee: Sonador, Inc.
    Inventors: William Ancil Brush, Emily Jennifer Pye, Shivay Lamba, Kieran Keegan, Rahul Garg, John Peter Norair, James P. Normile, III, Jonathon G. Neville
  • Sports Operating System
    Publication number: 20220080263
    Abstract: In one embodiment, a method includes accessing, by one or more computing devices, user sensor data from one or more wearable sensors on one or more players and optical sensor data from one or more cameras, where the user sensor data includes location data of the player and acceleration data, and where the optical sensor data includes several frames portraying the players and several scenes from an athletic event. The one or more computing devices analyzes, using a machine-learning model, the optical sensor data to identify the players and one or more actions during the athletic event and calculates one or more player metrics for the players based on the user sensor data and the identified actions. The one or more computing devices normalizes the player metrics for the players based on one or more weighted parameters and provides a report to one or more users.
    Type: Application
    Filed: September 16, 2021
    Publication date: March 17, 2022
    Inventors: William Ancil Brush, Emily Jennifer Pye, Shivay Lamba, Kieran Keegan, Rahul Garg, John Peter Norair, James P. Normile, III, Jonathon G. Neville