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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.
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公开(公告)号：US20230160922A1
公开(公告)日：2023-05-25
申请号：US18158412
申请日：2023-01-23
Applicant: Apple Inc.
Inventor： Gierad LAPUT , Jared LeVan ZERBE , William C. ATHAS , Andreas Edgar SCHOBEL , Shawn R. SCULLY , Brian H. TSANG , Kevin LYNCH , Charles MAALOUF , Shiwen ZHAO
CPC classification number: G01P15/18 , G01J1/4204 , G01P13/00 , H04R1/08 , G10L25/51
Abstract: Individual health related events (e.g., handwashing events) can be detected based on multiple sensors including motion and audio sensors. Detecting a qualifying handwashing event can include detecting a qualifying scrubbing event based on motion data (e.g., accelerometer data) and a qualifying rinsing event based on audio data. In some examples, power consumption can be reduced by implementing one or more power saving mitigations.
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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.
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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.
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Patent Agency Ranking
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.
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公开(公告)号：US20210063434A1
公开(公告)日：2021-03-04
申请号：US16994524
申请日：2020-08-14
Applicant: Apple Inc.
Inventor： Gierad LAPUT , Jared LeVan ZERBE , William C. ATHAS , Andreas Edgar SCHOBEL , Shawn R. SCULLY , Brian H. TSANG , Kevin LYNCH , Charles MAALOUF , Shiwen ZHAO
Abstract: Individual health related events (e.g., handwashing events) can be detected based on multiple sensors including motion and audio sensors. Detecting a qualifying handwashing event can include detecting a qualifying scrubbing event based on motion data (e.g., accelerometer data) and a qualifying rinsing event based on audio data. In some examples, power consumption can be reduced by implementing one or more power saving mitigations.
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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.
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公开(公告)号：US20220414543A1
公开(公告)日：2022-12-29
申请号：US17860030
申请日：2022-07-07
Applicant: Apple Inc.
Inventor： Carlos E. GUESTRIN , Leon A. GATYS , Shreyas V. JOSHI , Gustav M. LARSSON , Kory R. WATSON , Srikrishna SRIDHAR , Karla P. VEGA , Shawn R. SCULLY , Thorsten GERNOTH , Onur C HAMSICI
Abstract: A device implementing a system for providing predicted RGB images includes at least one processor configured to obtain an infrared image of a subject, and to obtain a reference RGB image of the subject. The at least one processor is further configured to provide the infrared image and the reference RGB image to a machine learning model, the machine learning model having been trained to output predicted RGB images of subjects based on infrared images and reference RGB images of the subjects. The at least one processor is further configured to provide a predicted RGB image of the subject based on output by the machine learning model.
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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.
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