Patents by Inventor Gregory Murray Smith

Gregory Murray Smith 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).

  • System and method for human motion detection and tracking
    Patent number: 11826140
    Abstract: A system and method for human motion detection and tracking are disclosed. In one embodiment, a smart device having an optical sensing instrument monitors a stage. Memory is accessible to a processor and communicatively coupled to the optical sensing instrument. The system captures an image frame from the optical sensing instrument. The image frame is then converted into a designated image frame format, which is provided to a pose estimator. A two-dimensional dataset is received from the pose estimator. The system then converts, using inverse kinematics, the two-dimensional dataset into a three-dimensional dataset, which includes time-independent static joint positions, and then calculates, using the three-dimensional dataset, the position of each of the respective plurality of body parts in the image frame.
    Type: Grant
    Filed: January 10, 2023
    Date of Patent: November 28, 2023
    Assignee: Physmodo, Inc.
    Inventors: Nathanael Lloyd Gingrich, Gregory Murray Smith
  • SYSTEM AND METHOD FOR HUMAN MOTION DETECTION AND TRACKING
    Publication number: 20230142202
    Abstract: A system and method for human motion detection and tracking are disclosed. In one embodiment, a smart device having an optical sensing instrument monitors a stage. Memory is accessible to a processor and communicatively coupled to the optical sensing instrument. The system captures an image frame from the optical sensing instrument. The image frame is then converted into a designated image frame format, which is provided to a pose estimator. A two-dimensional dataset is received from the pose estimator. The system then converts, using inverse kinematics, the two-dimensional dataset into a three-dimensional dataset, which includes time-independent static joint positions, and then calculates, using the three-dimensional dataset, the position of each of the respective plurality of body parts in the image frame.
    Type: Application
    Filed: January 10, 2023
    Publication date: May 11, 2023
    Inventors: Nathanael Lloyd Gingrich, Gregory Murray Smith
  • System and method for human motion detection and tracking
    Patent number: 11547324
    Abstract: A system and method for human motion detection and tracking are disclosed. In one embodiment, a smart device having an optical sensing instrument monitors a stage. Memory is accessible to a processor and communicatively coupled to the optical sensing instrument. The system captures an image frame from the optical sensing instrument. The image frame is then converted into a designated image frame format, which is provided to a pose estimator. A two-dimensional dataset is received from the pose estimator. The system then converts, using inverse kinematics, the two-dimensional dataset into a three-dimensional dataset, which includes time-independent static joint positions, and then calculates, using the three-dimensional dataset, the position of each of the respective plurality of body parts in the image frame.
    Type: Grant
    Filed: May 17, 2022
    Date of Patent: January 10, 2023
    Assignee: Physmodo, Inc.
    Inventors: Nathanael Lloyd Gingrich, Gregory Murray Smith
  • SYSTEM AND METHOD FOR HUMAN MOTION DETECTION AND TRACKING
    Publication number: 20220273194
    Abstract: A system and method for human motion detection and tracking are disclosed. In one embodiment, a smart device having an optical sensing instrument monitors a stage. Memory is accessible to a processor and communicatively coupled to the optical sensing instrument. The system captures an image frame from the optical sensing instrument. The image frame is then converted into a designated image frame format, which is provided to a pose estimator. A two-dimensional dataset is received from the pose estimator. The system then converts, using inverse kinematics, the two-dimensional dataset into a three-dimensional dataset, which includes time-independent static joint positions, and then calculates, using the three-dimensional dataset, the position of each of the respective plurality of body parts in the image frame.
    Type: Application
    Filed: May 17, 2022
    Publication date: September 1, 2022
    Inventors: Nathanael Lloyd Gingrich, Gregory Murray Smith
  • System and method for human motion detection and tracking
    Patent number: 11331006
    Abstract: A system and method for human motion detection and tracking are disclosed. In one embodiment, a smart device having an optical sensing instrument monitors a stage. Memory is accessible to a processor and communicatively coupled to the optical sensing instrument. The system captures an image frame from the optical sensing instrument. The image frame is then converted into a designated image frame format, which is provided to a pose estimator. A two-dimensional dataset is received from the pose estimator. The system then converts, using inverse kinematics, the two-dimensional dataset into a three-dimensional dataset, which includes time-independent static joint positions, and then calculates, using the three-dimensional dataset, the position of each of the respective plurality of body parts in the image frame.
    Type: Grant
    Filed: June 29, 2021
    Date of Patent: May 17, 2022
    Assignee: Physmodo, Inc.
    Inventors: Nathanael Lloyd Gingrich, Gregory Murray Smith
  • System and Method for Human Motion Detection and Tracking
    Publication number: 20210338110
    Abstract: A system and method for human motion detection and tracking are disclosed. In one embodiment, a smart device having an optical sensing instrument monitors a stage. Memory is accessible to a processor and communicatively coupled to the optical sensing instrument. The system captures an image frame from the optical sensing instrument. The image frame is then converted into a designated image frame format, which is provided to a pose estimator. A two-dimensional dataset is received from the pose estimator. The system then converts, using inverse kinematics, the two-dimensional dataset into a three-dimensional dataset, which includes time-independent static joint positions, and then calculates, using the three-dimensional dataset, the position of each of the respective plurality of body parts in the image frame.
    Type: Application
    Filed: June 29, 2021
    Publication date: November 4, 2021
    Inventors: Nathanael Lloyd Gingrich, Gregory Murray Smith