Patents by Inventor Varun MAUDGALYA

Varun MAUDGALYA 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).

  • MACHINE-LEARNING BASED GESTURE RECOGNITION
    Publication number: 20230401486
    Abstract: The subject technology receives, from a first sensor of a device, first sensor output of a first type. The subject technology receives, from a second sensor of the device, second sensor output of a second type, the first and second sensors being non-touch sensors. The subject technology provides the first sensor output and the second sensor output as inputs to a machine learning model, the machine learning model having been trained to output a predicted touch-based gesture based on sensor output of the first type and sensor output of the second type. The subject technology provides a predicted touch-based gesture based on output from the machine learning model. Further, the subject technology adjusts an audio output level of the device based on the predicted gesture, and where the device is an audio output device.
    Type: Application
    Filed: May 30, 2023
    Publication date: December 14, 2023
    Inventors: Keith P. AVERY, Jamil DHANANI, Harveen KAUR, Varun MAUDGALYA, Timothy S. PAEK, Dmytro RUDCHENKO, Brandt M. WESTING, Minwoo JEONG
  • Machine-learning based gesture recognition
    Patent number: 11704592
    Abstract: The subject technology receives, from a first sensor of a device, first sensor output of a first type. The subject technology receives, from a second sensor of the device, second sensor output of a second type, the first and second sensors being non-touch sensors. The subject technology provides the first sensor output and the second sensor output as inputs to a machine learning model, the machine learning model having been trained to output a predicted touch-based gesture based on sensor output of the first type and sensor output of the second type. The subject technology provides a predicted touch-based gesture based on output from the machine learning model. Further, the subject technology adjusts an audio output level of the device based on the predicted gesture, and where the device is an audio output device.
    Type: Grant
    Filed: July 23, 2020
    Date of Patent: July 18, 2023
    Assignee: Apple Inc.
    Inventors: Keith P. Avery, Jamil Dhanani, Harveen Kaur, Varun Maudgalya, Timothy S. Paek, Dmytro Rudchenko, Brandt M. Westing, Minwoo Jeong
  • User interfaces for assigning and responding to user inputs
    Patent number: 11416136
    Abstract: The present disclosure generally relates to assigning tasks to various user inputs, and detecting and responding to user inputs. In some embodiments, the present disclosure relates to assigning tasks to various user inputs received on a back surface of a device, and detecting and responding to user inputs on the back surface of the device.
    Type: Grant
    Filed: February 4, 2021
    Date of Patent: August 16, 2022
    Assignee: Apple Inc.
    Inventors: John M. Nefulda, Keith P. Avery, Madhu Chinthakunta, Christopher B. Fleizach, Varun Maudgalya, Sommer E. Panage, Xinyi Yan, Garrett L. Weinberg, Michal K. Wegrzynski, William Caruso, Kenneth S. Friedman, Jamil Dhanani, Muhammad Amir Shafiq, Minwoo Jeong, Timothy S. Paek, Viet Huy Le, Heriberto Nieto, Brandt M. Westing, Rishabh Yadav
  • USER INTERFACES FOR ASSIGNING AND RESPONDING TO USER INPUTS
    Publication number: 20220083211
    Abstract: The present disclosure generally relates to assigning tasks to various user inputs, and detecting and responding to user inputs.
    Type: Application
    Filed: February 4, 2021
    Publication date: March 17, 2022
    Inventors: John NEFULDA, Keith P. AVERY, Madhusudan CHINTHAKUNTA, Christopher B. FLEIZACH, Varun MAUDGALYA, Sommer Elizabeth PANAGE
  • MACHINE-LEARNING BASED GESTURE RECOGNITION
    Publication number: 20210027199
    Abstract: The subject technology receives, from a first sensor of a device, first sensor output of a first type. The subject technology receives, from a second sensor of the device, second sensor output of a second type, the first and second sensors being non-touch sensors. The subject technology provides the first sensor output and the second sensor output as inputs to a machine learning model, the machine learning model having been trained to output a predicted touch-based gesture based on sensor output of the first type and sensor output of the second type. The subject technology provides a predicted touch-based gesture based on output from the machine learning model. Further, the subject technology adjusts an audio output level of the device based on the predicted gesture, and where the device is an audio output device.
    Type: Application
    Filed: July 23, 2020
    Publication date: January 28, 2021
    Inventors: Keith P. AVERY, Jamil DHANANI, Harveen KAUR, Varun MAUDGALYA, Timothy S. PAEK, Dmytro RUDCHENKO, Brandt M. WESTING, Minwoo JEONG