公开(公告)号：US20220351086A1

公开(公告)日：2022-11-03

申请号：US17869740

申请日：2022-07-20

Applicant: Apple Inc.

Inventor： 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

IPC: G06N20/00 ,  G06F3/01 ,  G06F3/04883 ,  G06K9/62

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.

公开(公告)号：US20210142214A1

公开(公告)日：2021-05-13

申请号：US16937481

申请日：2020-07-23

Applicant: Apple Inc.

Inventor： 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

IPC: G06N20/00 ,  G06F3/01 ,  G06F3/0488 ,  G06K9/62

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.

公开(公告)号：US20250093947A1

公开(公告)日：2025-03-20

申请号：US18778706

申请日：2024-07-19

Applicant: Apple Inc.

Inventor： Noah D. BEDARD ,  Julian QUINTANA ,  Ethan T. DANIELS ,  Ting SUN ,  Kathrin Berkner CIESLICKI ,  John S. KERR ,  Chad A. BRONSTEIN ,  Mahmut C. ORSAN ,  Eugene Y. KIM ,  Molly J. ANDERSON ,  Seung Wook KIM ,  Howard TSAI ,  Branko PETLJANSKI

IPC: G06F3/01 ,  G04G9/00 ,  G04G21/00 ,  G06F1/3231 ,  G06F3/0481 ,  G06F3/0485 ,  G06T13/80

Abstract: The present disclosure generally relates to updating user interfaces based on user presence and/or outputting information about detected real-world object.

公开(公告)号：US20200341610A1

公开(公告)日：2020-10-29

申请号：US16859933

申请日：2020-04-27

Applicant: Apple Inc.

Inventor： Julian QUINTANA ,  Matan STAUBER ,  Julian MISSIG ,  Mark HAUENSTEIN

IPC: G06F3/0488 ,  G06F3/0485 ,  G06F3/0481

Abstract: In some embodiments, an electronic device initiates or modifies the display of one or more selectable options in response to detecting an object near the touch-sensitive display of the electronic device. In some embodiments, an electronic device prevents an indication of an event from auto-dismissing while the electronic device detects an object hovering near the touch-sensitive display of the electronic device. In some embodiments, an electronic device changes a visual characteristic of content presented on the touch-sensitive display in response to detecting an object hovering above the touch-sensitive display.

公开(公告)号：US20250037033A1

公开(公告)日：2025-01-30

申请号：US18915243

申请日：2024-10-14

Applicant: Apple Inc.

Inventor： 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

IPC: G06N20/00 ,  G06F3/01 ,  G06F3/04883 ,  G06F18/214 ,  G06N3/08

Abstract: A device implementing a system for machine-learning based gesture recognition includes at least one processor configured to, receive, sensor data for a first window of time and additional sensor data for a second window of time overlapping the first window of time. The sensor data and the additional sensor data are provided as inputs to a machine learning model, the machine learning model having been trained to output a predicted gesture, predicted gesture start time, and predicted gesture end time based on the sensor data. A predicted gesture is determined 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.

公开(公告)号：US20230325719A1

公开(公告)日：2023-10-12

申请号：US18202857

申请日：2023-05-26

Applicant: Apple Inc.

Inventor： 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

IPC: G06N20/00 ,  G06F3/01 ,  G06F3/04883 ,  G06F18/214

CPC classification number: G06N20/00 ,  G06F3/015 ,  G06F3/017 ,  G06F3/04883 ,  G06F18/2155 ,  G06N3/08

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.