Patents by Inventor Joel Amado Hesch

Joel Amado Hesch 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).

  • Virtual Reality System with Modeling Poses of Tracked Objects by Predicting Sensor Data
    Publication number: 20230213549
    Abstract: A platform system receives sensor data describing the state and orientation of a tracked object and models the pose of the tracked object to determine user interactions with the platform system. To ensure that incorrect sensor data due to a saturation event or connection loss does not impact user experience, the platform system identifies regions for correction in sensor data streams based on the sensor data being at or above a saturation limit or not being received. The platform system predicts sensor data for an identified region of correction by applying a fit corresponding to points adjacent to the region for correction and determining predicted sensor data using the applied fit. The predicted sensor data is used to correct the modeled pose for the tracked object.
    Type: Application
    Filed: February 28, 2023
    Publication date: July 6, 2023
    Inventors: Boyang Zhang, Joel Amado Hesch
  • Modeling poses of tracked objects by predicting sensor data
    Patent number: 11624757
    Abstract: A platform system receives sensor data describing the state and orientation of a tracked object and models the pose of the tracked object to determine user interactions with the platform system. To ensure that incorrect sensor data due to a saturation event or connection loss does not impact user experience, the platform system identifies regions for correction in sensor data streams based on the sensor data being at or above a saturation limit or not being received. The platform system predicts sensor data for an identified region of correction by applying a fit corresponding to points adjacent to the region for correction and determining predicted sensor data using the applied fit. The predicted sensor data is used to correct the modeled pose for the tracked object.
    Type: Grant
    Filed: March 4, 2019
    Date of Patent: April 11, 2023
    Assignee: Meta Platforms, Inc.
    Inventors: Boyang Zhang, Joel Amado Hesch
  • MODELING POSES OF TRACKED OBJECTS BY PREDICTING SENSOR DATA
    Publication number: 20200284820
    Abstract: A platform system receives sensor data describing the state and orientation of a tracked object and models the pose of the tracked object to determine user interactions with the platform system. To ensure that incorrect sensor data due to a saturation event or connection loss does not impact user experience, the platform system identifies regions for correction in sensor data streams based on the sensor data being at or above a saturation limit or not being received. The platform system predicts sensor data for an identified region of correction by applying a fit corresponding to points adjacent to the region for correction and determining predicted sensor data using the applied fit. The predicted sensor data is used to correct the modeled pose for the tracked object.
    Type: Application
    Filed: March 4, 2019
    Publication date: September 10, 2020
    Inventors: Boyang Zhang, Joel Amado Hesch