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公开(公告)号:US11699104B2
公开(公告)日:2023-07-11
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: G06V10/00 , G06N20/00 , G06F3/01 , G06F3/04883 , G06F18/214 , G06N3/08
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:US12189865B2
公开(公告)日:2025-01-07
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 , Hojat Seyed Mousavi , Shawn R. Scully , Ibrahim G. Yusuf , Joanna Arreaza-Taylor , Hannah G. Coleman , Yoonju Han
IPC: G06F3/01 , G06F3/04812 , G06F3/04817 , G06F3/0482 , G06F3/04842 , G06F3/0485
Abstract: The present disclosure generally relates to navigating user interfaces using hand gestures.
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公开(公告)号:US12175070B2
公开(公告)日:2024-12-24
申请号:US18319388
申请日:2023-05-17
Applicant: Apple Inc.
Inventor: Christopher B. Fleizach , Tu K. Nguyen , Virata Yindeeyoungyeon
IPC: G06F3/14 , G06F3/041 , G06F3/04842 , G06F3/04886 , G06F3/044
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.
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公开(公告)号:US12118443B2
公开(公告)日:2024-10-15
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: G06V10/00 , G06F3/01 , G06F3/04883 , G06F18/214 , G06N20/00 , G06N3/08
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:US11449802B2
公开(公告)日:2022-09-20
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
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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