公开(公告)号：US20230376193A1

公开(公告)日：2023-11-23

申请号：US18197681

申请日：2023-05-15

Applicant: Apple Inc.

Inventor： Elizabeth HAN ,  Joanna ARREAZA-TAYLOR ,  Hannah G. COLEMAN ,  Caroline J. CRANDALL ,  Christopher B. FLEIZACH ,  Charles MAALOUF ,  Tu K. NGUYEN ,  Jennifer D. PATTON

IPC: G06F3/0488 ,  G06F3/14 ,  G06F3/0362 ,  G06F3/0485 ,  G06F9/451

CPC classification number: G06F3/0488 ,  G06F3/14 ,  G06F3/0362 ,  G06F3/0485 ,  G06F9/451

Abstract: The present disclosure generally relates to displaying user interfaces with device controls.

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：US20240399205A1

公开(公告)日：2024-12-05

申请号：US18505087

申请日：2023-11-08

Applicant: Apple Inc.

Inventor： Michael D. FORD ,  Tu K. NGUYEN

IPC: A63B24/00 ,  A63B71/06

Abstract: The embodiments set forth techniques for managing workout profiles on computing devices. In particular, the techniques include a method that is implemented by a fitness application executing on a client device, and include the steps of (1) receiving a workout object from an entity that is external to the fitness application, (2) generating, within the fitness application, a workout profile that is based on the workout object, where the workout profile is associated with at least one condition, (3) monitoring information gathered from at least one sensor that is communicatively coupled to the client device, and (4) in response to determining, based on the information, that the at least one condition is satisfied: causing at least one user interface to reflect that the at least one condition is satisfied. The techniques also include a method for generating workout objects from which workout profiles can be derived on client devices.

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：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：US20230409194A1

公开(公告)日：2023-12-21

申请号：US18319388

申请日：2023-05-17

Applicant: Apple Inc.

Inventor： Christopher B. FLEIZACH ,  Tu K. NGUYEN ,  Virata YINDEEYOUNGYEON

IPC: G06F3/04886 ,  G06F3/041

CPC classification number: G06F3/04886 ,  G06F3/044 ,  G06F3/0416

Abstract: Some embodiments described in this disclosure are directed to a first electronic device that operates in a remote interaction mode with a second electronic device, where user interactions with images displayed on the first electronic device cause the second electronic device to update display of the images and/or corresponding user interfaces on the second electronic 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.

公开(公告)号：US20240357002A1

公开(公告)日：2024-10-24

申请号：US18379128

申请日：2023-10-11

Applicant: Apple Inc.

Inventor： Shardul OZA ,  Vikrant KASARABADA ,  Tu K. NGUYEN ,  Virata YINDEEYOUNGYEON ,  Gennadiy SHEKHTMAN ,  Christopher B. FLEIZACH

IPC: H04L67/025 ,  H04L9/40

CPC classification number: H04L67/025 ,  H04L63/061

Abstract: The present disclosure generally relates to communicating between computer systems, and more specifically to techniques for communicating user interface content.

公开(公告)号：US20230195237A1

公开(公告)日：2023-06-22

申请号：US18109808

申请日：2023-02-14

Applicant: Apple Inc.

Inventor： Tu K. NGUYEN ,  James N. CARTWRIGHT ,  Elizabeth C. CRANFILL ,  Christopher B. FLEIZACH ,  Joshua R. FORD ,  Jeremiah R. JOHNSON ,  Charles MAALOUF ,  Heriberto NIETO ,  Jennifer D. PATTON ,  Hojjat SEYED MOUSAVI ,  Shawn R. SCULLY ,  Ibrahim G. YUSUF

IPC: G06F3/01 ,  G06F3/04812 ,  G06F3/0485 ,  G06F3/0482 ,  G06F3/04817 ,  G06F3/04842

CPC classification number: G06F3/017 ,  G06F3/04812 ,  G06F3/0485 ,  G06F3/0482 ,  G06F3/04817 ,  G06F3/04842

Abstract: The present disclosure generally relates to navigating user interfaces using hand gestures.

公开(公告)号：US20220374085A1

公开(公告)日：2022-11-24

申请号：US17747613

申请日：2022-05-18

Applicant: Apple Inc.

Inventor： Tu K. NGUYEN ,  James N. CARTWRIGHT ,  Elizabeth C. CRANFILL ,  Christopher B. FLEIZACH ,  Joshua R. FORD ,  Jeremiah R. JOHNSON ,  Charles MAALOUF ,  Heriberto NIETO ,  Jennifer D. PATTON ,  Hojjat SEYED MOUSAVI ,  Shawn R. SCULLY ,  Ibrahim G. YUSUF

IPC: G06F3/01 ,  G06F3/04812 ,  G06F3/04842 ,  G06F3/0482 ,  G06F3/04817 ,  G06F3/0485

Abstract: The present disclosure generally relates to navigating user interfaces using hand gestures.