Patents by Inventor Michael Harley NOTTER

Michael Harley NOTTER 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: 11755122
    Abstract: Examples are disclosed that relate to hand gesture-based emojis. One example provides, on a display device, a method comprising receiving hand tracking data representing a pose of a hand in a coordinate system, based on the hand tracking data, recognizing a hand gesture, and identifying an emoji corresponding to the hand gesture. The method further comprises presenting the emoji on the display device, and sending an instruction to one or more other display devices to present the emoji.
    Type: Grant
    Filed: May 23, 2022
    Date of Patent: September 12, 2023
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Julia Schwarz, Michael Harley Notter, Jenny Kam, Sheng Kai Tang, Kenneth Mitchell Jakubzak, Adam Edwin Behringer, Amy Mun Hong, Joshua Kyle Neff, Sophie Stellmach, Mathew J. Lamb, Nicholas Ferianc Kamuda
  • Patent number: 11656689
    Abstract: A method for single-handed microgesture input comprises receiving hand tracking data for a hand of a user. A set of microgesture targets that include software functions are assigned to positions along a length of a first finger. The received hand tracking data is analyzed by a gesture recognition machine. A location of a thumbtip of the hand of the user is determined relative to the positions along the first finger. Responsive to determining that the thumbtip is within a threshold distance of the first finger at a first position along the length of the first finger, a corresponding first microgesture target is designated for selection. Selection of the first microgesture target is enabled based on a duration the thumbtip is at the first position. Responsive to detecting a confirmation action, the corresponding microgesture target executes.
    Type: Grant
    Filed: January 13, 2022
    Date of Patent: May 23, 2023
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Julia Schwarz, Noe Moreno Barragan, Michael Harley Notter, Sheng Kai Tang, Joshua Kyle Neff
  • Publication number: 20220283646
    Abstract: Examples are disclosed that relate to hand gesture-based emojis. One example provides, on a display device, a method comprising receiving hand tracking data representing a pose of a hand in a coordinate system, based on the hand tracking data, recognizing a hand gesture, and identifying an emoji corresponding to the hand gesture. The method further comprises presenting the emoji on the display device, and sending an instruction to one or more other display devices to present the emoji.
    Type: Application
    Filed: May 23, 2022
    Publication date: September 8, 2022
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Julia SCHWARZ, Michael Harley NOTTER, Jenny KAM, Sheng Kai TANG, Kenneth Mitchell JAKUBZAK, Adam Edwin BEHRINGER, Amy Mun HONG, Joshua Kyle NEFF, Sophie STELLMACH, Mathew J. LAMB, Nicholas Ferianc KAMUDA
  • Publication number: 20220171469
    Abstract: A method for single-handed microgesture input comprises receiving hand tracking data for a hand of a user. A set of microgesture targets that include software functions are assigned to positions along a length of a first finger. The received hand tracking data is analyzed by a gesture recognition machine. A location of a thumbtip of the hand of the user is determined relative to the positions along the first finger. Responsive to determining that the thumbtip is within a threshold distance of the first finger at a first position along the length of the first finger, a corresponding first microgesture target is designated for selection. Selection of the first microgesture target is enabled based on a duration the thumbtip is at the first position. Responsive to detecting a confirmation action, the corresponding microgesture target executes.
    Type: Application
    Filed: January 13, 2022
    Publication date: June 2, 2022
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Julia SCHWARZ, Noe Moreno BARRAGAN, Michael Harley NOTTER, Sheng Kai TANG, Joshua Kyle NEFF
  • Patent number: 11340707
    Abstract: Examples are disclosed that relate to hand gesture-based emojis. One example provides, on a display device, a method comprising receiving hand tracking data representing a pose of a hand in a coordinate system, based on the hand tracking data, recognizing a hand gesture, and identifying an emoji corresponding to the hand gesture. The method further comprises presenting the emoji on the display device, and sending an instruction to one or more other display devices to present the emoji.
    Type: Grant
    Filed: May 29, 2020
    Date of Patent: May 24, 2022
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Julia Schwarz, Michael Harley Notter, Jenny Kam, Sheng Kai Tang, Kenneth Mitchell Jakubzak, Adam Edwin Behringer, Amy Mun Hong, Joshua Kyle Neff, Sophie Stellmach, Mathew J. Lamb, Nicholas Ferianc Kamuda
  • Patent number: 11249556
    Abstract: A method for single-handed microgesture input comprises receiving hand tracking data for a hand of a user. A set of microgesture targets that include software functions are assigned to positions along a length of a first finger. A visual affordance including indicators for two or more assigned microgesture targets is provided to the user. The received hand tracking data is analyzed by a gesture recognition machine. A location of a thumbtip of the hand of the user is determined relative to the positions along the first finger. Responsive to determining that the thumbtip is within a threshold distance of the first finger at a first position along the length of the first finger, an indicator for a corresponding first microgesture target is augmented, and then further augmented based on a duration the thumbtip is at the first position. Responsive to detecting a confirmation action, the corresponding microgesture target executes.
    Type: Grant
    Filed: November 30, 2020
    Date of Patent: February 15, 2022
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Julia Schwarz, Noe Moreno Barragan, Michael Harley Notter, Sheng Kai Tang, Joshua Kyle Neff
  • Publication number: 20210373672
    Abstract: Examples are disclosed that relate to hand gesture-based emojis. One example provides, on a display device, a method comprising receiving hand tracking data representing a pose of a hand in a coordinate system, based on the hand tracking data, recognizing a hand gesture, and identifying an emoji corresponding to the hand gesture. The method further comprises presenting the emoji on the display device, and sending an instruction to one or more other display devices to present the emoji.
    Type: Application
    Filed: May 29, 2020
    Publication date: December 2, 2021
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Julia SCHWARZ, Michael Harley NOTTER, Jenny KAM, Sheng Kai TANG, Kenneth Mitchell JAKUBZAK, Adam Edwin BEHRINGER, Amy Mun HONG, Joshua Kyle NEFF, Sophie STELLMACH, Mathew J. LAMB, Nicholas Ferianc KAMUDA