Patents by Inventor Lilian H. LIANG

Lilian H. LIANG 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 USING MULTIPLE SENSORS
    Publication number: 20230325719
    Abstract: A device implementing a system for machine-learning based gesture recognition includes at least one processor configured to, receive, from a first sensor of the device, first sensor output of a first type, and receive, from a second sensor of the device, second sensor output of a second type that differs from the first type. The at least one processor is further configured to provide 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 gesture based on sensor output of the first type and sensor output of the second type. The at least one processor is further configured to determine the predicted gesture based on an output from the machine learning model, and to perform, in response to determining the predicted gesture, a predetermined action on the device.
    Type: Application
    Filed: May 26, 2023
    Publication date: October 12, 2023
    Inventors: Charles MAALOUF, Shawn R. SCULLY, Christopher B. FLEIZACH, Tu K. NGUYEN, Lilian H. LIANG, Warren J. SETO, Julian QUINTANA, Michael J. BEYHS, Hojjat SEYED MOUSAVI, Behrooz SHAHSAVARI
  • Machine-learning based gesture recognition using multiple sensors
    Patent number: 11699104
    Abstract: A device implementing a system for machine-learning based gesture recognition includes at least one processor configured to, receive, from a first sensor of the device, first sensor output of a first type, and receive, from a second sensor of the device, second sensor output of a second type that differs from the first type. The at least one processor is further configured to provide 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 gesture based on sensor output of the first type and sensor output of the second type. The at least one processor is further configured to determine the predicted gesture based on an output from the machine learning model, and to perform, in response to determining the predicted gesture, a predetermined action on the device.
    Type: Grant
    Filed: July 20, 2022
    Date of Patent: July 11, 2023
    Assignee: Apple Inc.
    Inventors: Charles Maalouf, Shawn R. Scully, Christopher B. Fleizach, Tu K. Nguyen, Lilian H. Liang, Warren J. Seto, Julian Quintana, Michael J. Beyhs, Hojjat Seyed Mousavi, Behrooz Shahsavari
  • MACHINE-LEARNING BASED GESTURE RECOGNITION USING MULTIPLE SENSORS
    Publication number: 20220351086
    Abstract: A device implementing a system for machine-learning based gesture recognition includes at least one processor configured to, receive, from a first sensor of the device, first sensor output of a first type, and receive, from a second sensor of the device, second sensor output of a second type that differs from the first type. The at least one processor is further configured to provide 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 gesture based on sensor output of the first type and sensor output of the second type. The at least one processor is further configured to determine the predicted gesture based on an output from the machine learning model, and to perform, in response to determining the predicted gesture, a predetermined action on the device.
    Type: Application
    Filed: July 20, 2022
    Publication date: November 3, 2022
    Inventors: Charles MAALOUF, Shawn R. SCULLY, Christopher B. FLEIZACH, Tu K. NGUYEN, Lilian H. LIANG, Warren J. SETO, Julian QUINTANA, Michael J. BEYHS, Hojjat SEYED MOUSAVI, Behrooz SHAHSAVARI
  • Machine-learning based gesture recognition using multiple sensors
    Patent number: 11449802
    Abstract: A device implementing a system for machine-learning based gesture recognition includes at least one processor configured to, receive, from a first sensor of the device, first sensor output of a first type, and receive, from a second sensor of the device, second sensor output of a second type that differs from the first type. The at least one processor is further configured to provide 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 gesture based on sensor output of the first type and sensor output of the second type. The at least one processor is further configured to determine the predicted gesture based on an output from the machine learning model, and to perform, in response to determining the predicted gesture, a predetermined action on the device.
    Type: Grant
    Filed: July 23, 2020
    Date of Patent: September 20, 2022
    Assignee: Apple Inc.
    Inventors: Charles Maalouf, Shawn R. Scully, Christopher B. Fleizach, Tu K. Nguyen, Lilian H. Liang, Warren J. Seto, Julian Quintana, Michael J. Beyhs, Hojjat Seyed Mousavi, Behrooz Shahsavari
  • MACHINE-LEARNING BASED GESTURE RECOGNITION USING MULTIPLE SENSORS
    Publication number: 20210142214
    Abstract: A device implementing a system for machine-learning based gesture recognition includes at least one processor configured to, receive, from a first sensor of the device, first sensor output of a first type, and receive, from a second sensor of the device, second sensor output of a second type that differs from the first type. The at least one processor is further configured to provide 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 gesture based on sensor output of the first type and sensor output of the second type. The at least one processor is further configured to determine the predicted gesture based on an output from the machine learning model, and to perform, in response to determining the predicted gesture, a predetermined action on the device.
    Type: Application
    Filed: July 23, 2020
    Publication date: May 13, 2021
    Inventors: Charles MAALOUF, Shawn R. SCULLY, Christopher B. FLEIZACH, Tu K. NGUYEN, Lilian H. LIANG, Warren J. SETO, Julian QUINTANA, Michael J. BEYHS, Hojjat SEYED MOUSAVI, Behrooz SHAHSAVARI