Patents by Inventor Chuck Noble

Chuck Noble 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).

  • Scalable real-time motion recognition
    Patent number: 8968091
    Abstract: Human body motion is represented by a skeletal model derived from image data of a user. The model represents joints and bones and has a rigid body portion. The sets of body data are scaled to a predetermined number of sets for a number of periodic units. A body-based coordinate 3-D reference system having a frame of reference defined with respect to a position within the rigid body portion of the skeletal model is generated. The body-based coordinate 3-D reference system is independent of the camera's field of view. The scaled data and representation of relative motion within an orthogonal body-based 3-D reference system decreases the data and simplifies the calculations for determining motion thus enhancing real-time performance for multimedia applications controlled by a user's natural movements.
    Type: Grant
    Filed: March 2, 2012
    Date of Patent: March 3, 2015
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Michalis Raptis, Chuck Noble, Joel Pritchett, Hugues Hoppe, Darko Kirovski
  • SCALABLE REAL-TIME MOTION RECOGNITION
    Publication number: 20120165098
    Abstract: Human body motion is represented by a skeletal model derived from image data of a user. The model represents joints and bones and has a rigid body portion. The sets of body data are scaled to a predetermined number of sets for a number of periodic units. A body-based coordinate 3-D reference system having a frame of reference defined with respect to a position within the rigid body portion of the skeletal model is generated. The body-based coordinate 3-D reference system is independent of the camera's field of view. The scaled data and representation of relative motion within an orthogonal body-based 3-D reference system decreases the data and simplifies the calculations for determining motion thus enhancing real-time performance for multimedia applications controlled by a user's natural movements.
    Type: Application
    Filed: March 2, 2012
    Publication date: June 28, 2012
    Applicant: MICROSOFT CORPORATION
    Inventors: Michalis Raptis, Chuck Noble, Joel Pritchett, Hugues Hoppe, Darko Kirovski
  • SCALABLE REAL-TIME MOTION RECOGNITION
    Publication number: 20120058824
    Abstract: Human body motion is represented by a skeletal model derived from image data of a user. The model represents joints and bones and has a rigid body portion. The sets of body data are scaled to a predetermined number of sets for a number of periodic units. A body-based coordinate 3-D reference system having a frame of reference defined with respect to a position within the rigid body portion of the skeletal model is generated. The body-based coordinate 3-D reference system is independent of the camera's field of view. The scaled data and representation of relative motion within an orthogonal body-based 3-D reference system decreases the data and simplifies the calculations for determining motion thus enhancing real-time performance for multimedia applications controlled by a user's natural movements.
    Type: Application
    Filed: September 7, 2010
    Publication date: March 8, 2012
    Applicant: MICROSOFT CORPORATION
    Inventors: Michalis Raptis, Chuck Noble, Joel Pritchett, Hugues Hoppe, Darko Kirovski