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公开(公告)号:US20220365598A1
公开(公告)日:2022-11-17
申请号:US17814826
申请日:2022-07-25
Applicant: Apple Inc.
Inventor: Michael J. BEYHS
IPC: G06F3/01
Abstract: Contact or movement gestures between a first body part and a second body part can be detected. Sense circuitry can be configured to sense a signal at the sense electrode (e.g., configured to contact the second body part) in response to a drive signal applied to the drive electrode (e.g., configured to contact the first body part). Processing circuitry can be configured to detect contact in accordance with a determination that one or more criteria are met (e.g., an amplitude criterion and a non-distortion criterion). Additionally or alternatively, processing circuitry can be configured to detect a movement gesture in accordance with a determination that one or more criteria are met (e.g., a contact criterion and a movement criterion).
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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: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:US20210303069A1
公开(公告)日:2021-09-30
申请号:US17218038
申请日:2021-03-30
Applicant: Apple Inc.
Inventor: Michael J. BEYHS
IPC: G06F3/01
Abstract: Contact or movement gestures between a first body part and a second body part can be detected. Sense circuitry can be configured to sense a signal at the sense electrode (e.g., configured to contact the second body part) in response to a drive signal applied to the drive electrode (e.g., configured to contact the first body part). Processing circuitry can be configured to detect contact in accordance with a determination that one or more criteria are met (e.g., an amplitude criterion and a non-distortion criterion). Additionally or alternatively, processing circuitry can be configured to detect a movement gesture in accordance with a determination that one or more criteria are met (e.g., a contact criterion and a movement criterion).
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公开(公告)号:US20210303068A1
公开(公告)日:2021-09-30
申请号:US16836552
申请日:2020-03-31
Applicant: Apple Inc.
Inventor: Michael J. BEYHS , Scott Peter KRUEGER , Wesley William ZUBER
IPC: G06F3/01 , H03K17/955
Abstract: Contact or movement gestures between a first body part and a second body part can be detected. Sense circuitry can be configured to sense a signal at the sense electrode (e.g., configured to contact the second body part) in response to a drive signal applied to the drive electrode (e.g., configured to contact the first body part). Processing circuitry can be configured to detect contact in accordance with a determination that one or more criteria are met (e.g., an amplitude criterion and a non-distortion criterion). Additionally or alternatively, processing circuitry can be configured to detect a movement gesture in accordance with a determination that one or more criteria are met (e.g., a contact criterion and a movement criterion).
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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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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:US20230251711A1
公开(公告)日:2023-08-10
申请号:US18194514
申请日:2023-03-31
Applicant: Apple Inc.
Inventor: Michael J. BEYHS
IPC: G06F3/01
Abstract: Contact or movement gestures between a first body part and a second body part can be detected. Sense circuitry can be configured to sense a signal at the sense electrode (e.g., configured to contact the second body part) in response to a drive signal applied to the drive electrode (e.g., configured to contact the first body part). Processing circuitry can be configured to detect contact in accordance with a determination that one or more criteria are met (e.g., an amplitude criterion and a non-distortion criterion). Additionally or alternatively, processing circuitry can be configured to detect a movement gesture in accordance with a determination that one or more criteria are met (e.g., a contact criterion and a movement criterion).
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