Patents by Inventor Paul Kruszewski

Paul Kruszewski 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).

  • Patent number: 12249074
    Abstract: System and method for extracting human pose information from an image, comprising a feature extractor connected to a database, a convolutional neural network (CNN) with a plurality of CNN layers. Said system/method further comprising at least one of the following modules: a 2D body skeleton detector for determining 2D body skeleton information from the human-related image features; a body silhouette detector for determining body silhouette information from the human-related image features; a hand silhouette detector for determining hand silhouette detector from the human-related image features; a hand skeleton detector for determining hand skeleton from the human-related image features; a 3D body skeleton detector for determining 3D body skeleton from the human-related image features; and a facial keypoints detector for determining facial keypoints from the human-related image features.
    Type: Grant
    Filed: June 27, 2019
    Date of Patent: March 11, 2025
    Assignee: Hinge Health, Inc.
    Inventors: Dongwook Cho, Maggie Zhang, Paul Kruszewski
  • Publication number: 20210264144
    Abstract: System and method for extracting human pose information from an image, comprising a feature extractor connected to a database, a convolutional neural network (CNN) with a plurality of CNN layers. Said system/method further comprising at least one of the following modules: a 2D body skeleton detector for determining 2D body skeleton information from the human-related image features; a body silhouette detector for determining body silhouette information from the human-related image features; a hand silhouette detector for determining hand silhouette detector from the human-related image features; a hand skeleton detector for determining hand skeleton from the human-related image features; a 3D body skeleton detector for determining 3D body skeleton from the human-related image features; and a facial keypoints detector for determining facial keypoints from the human-related image features.
    Type: Application
    Filed: June 27, 2019
    Publication date: August 26, 2021
    Applicant: WRNCH INC.
    Inventors: Dongwook Cho, Maggie Zhang, Paul Kruszewski
  • Publication number: 20050071306
    Abstract: The method for on-screen animation includes providing a digital world including image object elements and defining autonomous image entities (AIE). Each AIE may represent a character or an object that is characterized by i) attributes defining the AIE relatively to the image objects elements of the digital world, and ii) behaviours for modifying some of the attributes. Each AIE is associated to animation clips allowing representing the AIE in movement in the digital world. Virtual sensors allow the AIE to gather data information about image object elements or other AIE within the digital world. Decision trees are used for processing the data information resulting in selecting and triggering one of the animation cycle or selecting a new behaviour. A system embodying the above method is also provided. The method and system for on-screen animation of digital entities according to the present invention can be used for creating animation for movies, for video games, and for simulation.
    Type: Application
    Filed: February 3, 2004
    Publication date: March 31, 2005
    Inventors: Paul Kruszewski, Vincent Stephen-Ong, Muthana Kubba, Fred Dorosh, Julianna Lin, Nicolas Leonard, Greg Labute, Cory Kumm, Richard Norton