Patents by Inventor Austin B. HODGES

Austin B. HODGES 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: 11907419
    Abstract: Systems and methods disclosed herein are related to an intelligent UI element selection system using eye-gaze technology. In some example aspects, a UI element selection zone may be determined. The selection zone may be defined as an area surrounding a boundary of the UI element. Gaze input may be received and the gaze input may be compared with the selection zone to determine an intent of the user. The gaze input may comprise one or more gaze locations. Each gaze location may be assigned a value according to its proximity to the UI element and/or its relation to the UI element's selection zone. Each UI element may be assigned a threshold. If the aggregated value of gaze input is equal to or greater than the threshold for the UI element, then the UI element may be selected.
    Type: Grant
    Filed: June 29, 2021
    Date of Patent: February 20, 2024
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Narasimhan Raghunath, Austin B. Hodges, Fei Su, Akhilesh Kaza, Peter John Ansell, Jonathan T. Campbell, Harish S. Kulkarni
  • Publication number: 20210325962
    Abstract: Systems and methods disclosed herein are related to an intelligent UI element selection system using eye-gaze technology. In some example aspects, a UI element selection zone may be determined. The selection zone may be defined as an area surrounding a boundary of the UI element. Gaze input may be received and the gaze input may be compared with the selection zone to determine an intent of the user. The gaze input may comprise one or more gaze locations. Each gaze location may be assigned a value according to its proximity to the UI element and/or its relation to the UI element's selection zone. Each UI element may be assigned a threshold. If the aggregated value of gaze input is equal to or greater than the threshold for the UI element, then the UI element may be selected.
    Type: Application
    Filed: June 29, 2021
    Publication date: October 21, 2021
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Narasimhan RAGHUNATH, Austin B. HODGES, Fei SU, Akhilesh KAZA, Peter John ANSELL, Jonathan T. CAMPBELL, Harish S. KULKARNI
  • Patent number: 11073904
    Abstract: Systems and methods disclosed herein are related to an intelligent UI element selection system using eye-gaze technology. In some example aspects, a UI element selection zone may be determined. The selection zone may be defined as an area surrounding a boundary of the UI element. Gaze input may be received and the gaze input may be compared with the selection zone to determine an intent of the user. The gaze input may comprise one or more gaze locations. Each gaze location may be assigned a value according to its proximity to the UI element and/or its relation to the UI element's selection zone. Each UI element may be assigned a threshold. If the aggregated value of gaze input is equal to or greater than the threshold for the UI element, then the UI element may be selected.
    Type: Grant
    Filed: December 13, 2017
    Date of Patent: July 27, 2021
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Narasimhan Raghunath, Austin B. Hodges, Fei Su, Akhilesh Kaza, Peter John Ansell, Jonathan T. Campbell, Harish S. Kulkarni
  • Patent number: 10599444
    Abstract: Methods, systems, and computer program products are described herein an extensible input stack for processing input device data received from a plurality of different input devices attached to a computing device. The extensible input stack comprises a plurality of stack layers. Each of the plurality of stack layers performs a particular set of processing with respect to the input device data, among other operations. Each of the plurality of stack layers comprises a code interface, which is used to provide and/or or receive data from the input device and/or other stack layers. Each of the stack layers is extensible to include additional functionality to support new input devices. By separating out the functionality performed by the input stack into separate stack layers, and having each layer accessible via a code interface, the functionality of each of stack layers may be easily extended to support any type of input device.
    Type: Grant
    Filed: January 9, 2018
    Date of Patent: March 24, 2020
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Narasimhan Raghunath, Scott A. Greenlay, Francis Miland Hogle, IV, Fei Su, Austin B. Hodges, Akhilesh Kaza
  • Publication number: 20190213016
    Abstract: Methods, systems, and computer program products are described herein an extensible input stack for processing input device data received from a plurality of different input devices attached to a computing device. The extensible input stack comprises a plurality of stack layers. Each of the plurality of stack layers performs a particular set of processing with respect to the input device data, among other operations. Each of the plurality of stack layers comprises a code interface, which is used to provide and/or or receive data from the input device and/or other stack layers. Each of the stack layers is extensible to include additional functionality to support new input devices. By separating out the functionality performed by the input stack into separate stack layers, and having each layer accessible via a code interface, the functionality of each of stack layers may be easily extended to support any type of input device.
    Type: Application
    Filed: January 9, 2018
    Publication date: July 11, 2019
    Inventors: Narasimhan Raghunath, Scott A. Greenlay, Francis Miland Hogle IV, Fei Su, Austin B. Hodges, Akhilesh Kaza
  • Publication number: 20190213015
    Abstract: Methods, systems, and computer program products are described herein an extensible input stack for processing input device data received from a plurality of different input devices attached to a computing device. The extensible input stack comprises a plurality of stack layers. Each of the plurality of stack layers performs a particular set of processing with respect to the input device data, among other operations. Each of the plurality of stack layers comprises a code interface, which is used to provide and/or or receive data from the input device and/or other stack layers. Each of the stack layers is extensible to include additional functionality to support new input devices. By separating out the functionality performed by the input stack into separate stack layers, and having each layer accessible via a code interface, the functionality of each of stack layers may be easily extended to support any type of input device.
    Type: Application
    Filed: January 9, 2018
    Publication date: July 11, 2019
    Inventors: Narasimhan Raghunath, Scott A. Greenlay, Francis Miland Hogle, IV, Fei Su, Austin B. Hodges, Akhilesh Kaza
  • Publication number: 20190033965
    Abstract: Systems and methods disclosed herein are related to an intelligent UI element selection system using eye-gaze technology. In some example aspects, a UI element selection zone may be determined. The selection zone may be defined as an area surrounding a boundary of the UI element. Gaze input may be received and the gaze input may be compared with the selection zone to determine an intent of the user. The gaze input may comprise one or more gaze locations. Each gaze location may be assigned a value according to its proximity to the UI element and/or its relation to the UI element's selection zone. Each UI element may be assigned a threshold. If the aggregated value of gaze input is equal to or greater than the threshold for the UI element, then the UI element may be selected.
    Type: Application
    Filed: December 13, 2017
    Publication date: January 31, 2019
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Narasimhan RAGHUNATH, Austin B. HODGES, Fei SU, Akhilesh KAZA, Peter John ANSELL, Jonathan T. CAMPBELL, Harish S. KULKARNI