Patents by Inventor Neil Richard KRONLAGE

Neil Richard KRONLAGE 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).

  • Augmented two-stage hand gesture input
    Patent number: 11294472
    Abstract: A method for augmenting a two-stage hand gesture input comprises receiving hand tracking data for a hand of a user. A gesture recognition machine recognizes that the user has performed a first-stage gesture based on one or more parameters derived from the received hand tracking data satisfying first-stage gesture criteria. An affordance cueing a second-stage gesture is provided to the user responsive to recognizing the first-stage gesture. The gesture recognition machine recognizes that the user has performed the second-stage gesture based on one or more parameters derived from the received hand tracking data satisfying second-stage gesture criteria. A graphical user interface element is displayed responsive to recognizing the second-stage gesture.
    Type: Grant
    Filed: March 26, 2019
    Date of Patent: April 5, 2022
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Sheng Kai Tang, Julia Schwarz, Thomas Matthew Gable, Casey Leon Meekhof, Chuan Qin, Nahil Tawfik Sharkasi, Nicholas Ferianc Kamuda, Ramiro S. Torres, Joshua Kyle Neff, Jamie Bryant Kirschenbaum, Neil Richard Kronlage
  • AUGMENTED TWO-STAGE HAND GESTURE INPUT
    Publication number: 20200225758
    Abstract: A method for augmenting a two-stage hand gesture input comprises receiving hand tracking data for a hand of a user. A gesture recognition machine recognizes that the user has performed a first-stage gesture based on one or more parameters derived from the received hand tracking data satisfying first-stage gesture criteria. An affordance cueing a second-stage gesture is provided to the user responsive to recognizing the first-stage gesture. The gesture recognition machine recognizes that the user has performed the second-stage gesture based on one or more parameters derived from the received hand tracking data satisfying second-stage gesture criteria. A graphical user interface element is displayed responsive to recognizing the second-stage gesture.
    Type: Application
    Filed: March 26, 2019
    Publication date: July 16, 2020
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Sheng Kai TANG, Julia SCHWARZ, Thomas Matthew GABLE, Casey Leon MEEKHOF, Chuan QIN, Nahil Tawfik SHARKASI, Nicholas Ferianc KAMUDA, Ramiro S. TORRES, Joshua Kyle NEFF, Jamie Bryant KIRSCHENBAUM, Neil Richard KRONLAGE