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公开(公告)号：US12093463B2
公开(公告)日：2024-09-17
申请号：US17822277
申请日：2022-08-25
Applicant: Google LLC
Inventor： Vignesh Sachidanandam , Ivan Poupyrev , Leonardo Giusti , Devon James O'Reilley Stern , Jung Ook Hong , Patrick M. Amihood , John David Jacobs , Abel Seleshi Mengistu , Brandon Barbello , Tyler Reed Kugler
IPC: G06F3/01 , G01S7/41 , G01S13/06 , H04M1/72454 , H04M1/72463
CPC classification number: G06F3/017 , G01S7/415 , G01S13/06 , G06F3/011 , H04M1/724631 , H04M1/72454 , H04M1/724634
Abstract: This document describes techniques and systems for radar-based gesture-recognition with context-sensitive gating and other context-sensitive controls. Sensor data from a proximity sensor and/or a movement sensor produces a context of a user equipment. The techniques and systems enable the user equipment to recognize contexts when a radar system can be unreliable and should not be used for gesture-recognition, enabling the user equipment to automatically disable or “gate” the output from the radar system according to context. The user equipment prevents the radar system from transitioning to a high-power state to perform gesture-recognition in contexts where radar data detected by the radar system is likely due to unintentional input. By so doing, the techniques conserve power, improve accuracy, or reduce latency relative to many common techniques and systems for radar-based gesture-recognition.
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公开(公告)号：US11868537B2
公开(公告)日：2024-01-09
申请号：US17661494
申请日：2022-04-29
Applicant: Google LLC
Inventor： Jung Ook Hong , Patrick M. Amihood , John David Jacobs , Abel Seleshi Mengistu , Leonardo Giusti , Vignesh Sachidanandam , Devon James O'Reilley Stern , Ivan Poupyrev , Brandon Barbello , Tyler Reed Kugler , Johan Prag , Artur Tsurkan , Alok Chandel , Lucas Dupin Moreira Costa , Selim Flavio Cinek
Abstract: Systems and techniques are described for robust radar-based gesture-recognition. A radar system detects radar-based gestures on behalf of application subscribers. A state machine transitions between multiple states based on inertial sensor data. A no-gating state enables the radar system to output radar-based gestures to application subscribers. The state machine also includes a soft-gating state that prevents the radar system from outputting the radar-based gestures to the application subscribers. A hard-gating state prevents the radar system from detecting radar-based gestures altogether. The techniques and systems enable the radar system to determine when not to perform gesture-recognition, enabling user equipment to automatically reconfigure the radar system to meet user demand. By so doing, the techniques conserve power, improve accuracy, or reduce latency relative to many common techniques and systems for radar-based gesture-recognition.
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公开(公告)号：US20220413620A1
公开(公告)日：2022-12-29
申请号：US17822277
申请日：2022-08-25
Applicant: Google LLC
Inventor： Vignesh Sachidanandam , Ivan Poupyrev , Leonardo Giusti , Devon James O'Reilley Stern , Jung Ook Hong , Patrick M. Amihood , John David Jacobs , Abel Seleshi Mengistu , Brandon Barbello , Tyler Reed Kugler
Abstract: This document describes techniques and systems for radar-based gesture-recognition with context-sensitive gating and other context-sensitive controls. Sensor data from a proximity sensor and/or a movement sensor produces a context of a user equipment. The techniques and systems enable the user equipment to recognize contexts when a radar system can be unreliable and should not be used for gesture-recognition, enabling the user equipment to automatically disable or “gate” the output from the radar system according to context. The user equipment prevents the radar system from transitioning to a high-power state to perform gesture-recognition in contexts where radar data detected by the radar system is likely due to unintentional input. By so doing, the techniques conserve power, improve accuracy, or reduce latency relative to many common techniques and systems for radar-based gesture-recognition.
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公开(公告)号：US11385722B2
公开(公告)日：2022-07-12
申请号：US16886626
申请日：2020-05-28
Applicant: Google LLC
Inventor： Jung Ook Hong , Patrick M. Amihood , John David Jacobs , Abel Seleshi Mengistu , Leonardo Giusti , Vignesh Sachidanandam , Devon James O'Reilley Stern , Ivan Poupyrev , Brandon Barbello , Tyler Reed Kugler , Johan Prag , Artur Tsurkan , Alok Chandel , Lucas Dupin Moreira Costa , Selim Flavio Cinek
Abstract: Systems and techniques are described for robust radar-based gesture-recognition. A radar system (104) detects radar-based gestures on behalf of application subscribers. A state machine (2000) transitions between multiple states based on inertial sensor data. A no-gating state (2002) enables the radar system (104) to output radar-based gestures to application subscribers. The state machine (2000) also includes a soft-gating state (2004) that prevents the radar system (104) from outputting the radar-based gestures to the application subscribers. A hard-gating state (2006) prevents the radar system (104) from detecting radar-based gestures altogether. The techniques and systems enable the radar system (104) to determine when not to perform gesture-recognition, enabling user equipment (102) to automatically reconfigure the radar system (104) to meet user demand. By so doing, the techniques conserve power, improve accuracy, or reduce latency relative to many common techniques and systems for radar-based gesture-recognition.
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公开(公告)号：US20210342008A1
公开(公告)日：2021-11-04
申请号：US16965735
申请日：2019-09-27
Applicant: Google LLC
Inventor： Vignesh Sachidanandam , Ivan Poupyrev , Leonardo Giusti , Devon James O'Reilley Stern , Jung Ook Hong , Patrick M. Amihood , John David Jacobs , Abel Seleshi Mengistu , Brandon Barbello , Tyler Reed Kugler
Abstract: This document describes techniques and systems for radar-based gesture-recognition with context-sensitive gating and other context-sensitive controls. Sensor data from a proximity sensor (108) and/or a movement sensor (108) produces a context of a user equipment (102). The techniques and systems enable the user equipment (102) to recognize contexts when a radar system (104) can be unreliable and should not be used for gesture-recognition, enabling the user equipment (102) to automatically disable or “gate” the output from the radar system (104) according to context. The user equipment (102) prevents the radar system (104) from transitioning to a high-power state (1910) to perform gesture-recognition in contexts where radar data detected by the radar system (104) is likely due to unintentional input. By so doing, the techniques conserve power, improve accuracy, or reduce latency relative to many common techniques and systems for radar-based gesture-recognition.
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Patent Agency Ranking
公开(公告)号：US20210026454A1
公开(公告)日：2021-01-28
申请号：US16886626
申请日：2020-05-28
Applicant: Google LLC
Inventor： Jung Ook Hong , Patrick M. Amihood , John David Jacobs , Abel Seleshi Mengistu , Leonardo Giusti , Vignesh Sachidanandam , Devon James O'Reilley Stern , Ivan Poupyrev , Brandon Barbello , Tyler Reed Kugler , Johan Prag , Artur Tsurkan , Alok Chandel , Lucas Dupin Moreira Costa , Selim Flavio Cinek
Abstract: Systems and techniques are described for robust radar-based gesture-recognition. A radar system (104) detects radar-based gestures on behalf of application subscribers. A state machine (2000) transitions between multiple states based on inertial sensor data. A no-gating state (2002) enables the radar system (104) to output radar-based gestures to application subscribers. The state machine (2000) also includes a soft-gating state (2004) that prevents the radar system (104) from outputting the radar-based gestures to the application subscribers. A hard-gating state (2006) prevents the radar system (104) from detecting radar-based gestures altogether. The techniques and systems enable the radar system (104) to determine when not to perform gesture-recognition, enabling user equipment (102) to automatically reconfigure the radar system (104) to meet user demand. By so doing, the techniques conserve power, improve accuracy, or reduce latency relative to many common techniques and systems for radar-based gesture-recognition.
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公开(公告)号：US20250098984A1
公开(公告)日：2025-03-27
申请号：US18725415
申请日：2022-10-20
Applicant: Google LLC
Inventor： Boyan Bonev , Jung Ook Hong
Abstract: A computer-implemented method for assessing a fall risk of a user is provided. The computer-implemented method includes obtaining data indicative of the user engaging in a fall risk activity. The computer-implemented method includes adjusting a fall detection threshold of a wearable computing device worn by the user based, at least in part, on the data indicative of the user engaging in the fall risk activity. The method includes providing a notification indicative of the user being at risk of falling due, at least in part, to the user engaging in the fall risk activity.
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公开(公告)号：US20240370096A1
公开(公告)日：2024-11-07
申请号：US18775227
申请日：2024-07-17
Applicant: Google LLC
Inventor： Vignesh Sachidanandam , Ivan Poupyrev , Leonardo Giusti , Devon James O'Reilley Stern , Jung Ook Hong , Patrick M. Amihood , John David Jacobs , Abel Seleshi Mengistu , Brandon Barbello , Tyler Reed Kugler
IPC: G06F3/01 , G01S7/41 , G01S13/06 , H04M1/72454 , H04M1/72463
Abstract: This document describes techniques and systems for radar-based gesture-recognition with context-sensitive gating and other context-sensitive controls. Sensor data from a proximity sensor and/or a movement sensor produces a context of a user equipment. The techniques and systems enable the user equipment to recognize contexts when a radar system can be unreliable and should not be used for gesture-recognition, enabling the user equipment to automatically disable or “gate” the output from the radar system according to context. The user equipment prevents the radar system from transitioning to a high-power state to perform gesture-recognition in contexts where radar data detected by the radar system is likely due to unintentional input. By so doing, the techniques conserve power, improve accuracy, or reduce latency relative to many common techniques and systems for radar-based gesture-recognition.
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公开(公告)号：US20240094827A1
公开(公告)日：2024-03-21
申请号：US18521539
申请日：2023-11-28
Applicant: Google LLC
Inventor： Jung Ook Hong , Patrick M. Amihood , John David Jacobs , Abel Seleshi Mengistu , Leonardo Giusti , Vignesh Sachidanandam , Devon James O'Reilley Stern , Ivan Poupyrev , Brandon Barbello , Tyler Reed Kugler , Johan Prag , Artur Tsurkan , Alok Chandel , Lucas Dupin Moreira Costa , Selim Flavio Cinek
Abstract: Systems and techniques are described for robust radar-based gesture-recognition. A radar system detects radar-based gestures on behalf of application subscribers. A state machine transitions between multiple states based on inertial sensor data. A no-gating state enables the radar system to output radar-based gestures to application subscribers. The state machine also includes a soft-gating state that prevents the radar system from outputting the radar-based gestures to the application subscribers. A hard-gating state prevents the radar system from detecting radar-based gestures altogether. The techniques and systems enable the radar system to determine when not to perform gesture-recognition, enabling user equipment to automatically reconfigure the radar system to meet user demand. By so doing, the techniques conserve power, improve accuracy, or reduce latency relative to many common techniques and systems for radar-based gesture-recognition.
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公开(公告)号：US11467672B2
公开(公告)日：2022-10-11
申请号：US16965735
申请日：2019-09-27
Applicant: Google LLC
Inventor： Vignesh Sachidanandam , Ivan Poupyrev , Leonardo Giusti , Devon James O'Reilley Stern , Jung Ook Hong , Patrick M. Amihood , John David Jacobs , Abel Seleshi Mengistu , Brandon Barbello , Tyler Reed Kugler
IPC: G06F3/01 , G01S13/06 , G01S7/41 , H04M1/72454
Abstract: This document describes techniques and systems for radar-based gesture-recognition with context-sensitive gating and other context-sensitive controls. Sensor data from a proximity sensor (108) and/or a movement sensor (108) produces a context of a user equipment (102). The techniques and systems enable the user equipment (102) to recognize contexts when a radar system (104) can be unreliable and should not be used for gesture-recognition, enabling the user equipment (102) to automatically disable or “gate” the output from the radar system (104) according to context. The user equipment (102) prevents the radar system (104) from transitioning to a high-power state (1910) to perform gesture-recognition in contexts where radar data detected by the radar system (104) is likely due to unintentional input. By so doing, the techniques conserve power, improve accuracy, or reduce latency relative to many common techniques and systems for radar-based gesture-recognition.
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