公开(公告)号：US20240161542A1

公开(公告)日：2024-05-16

申请号：US18487855

申请日：2023-10-16

Applicant: Google LLC

Inventor： Alok Chandel ,  Leonardo Giusti ,  Artur Tsurkan ,  Selim Flavio Cinek ,  Johan Prag ,  Tyler Reed Kugler ,  Lucas Dupin Moreira Costa ,  Vignesh Sachidanandam ,  Brandon Barbello

IPC: G06V40/16 ,  G01S7/41 ,  G06T7/50 ,  H04N5/33

CPC classification number: G06V40/172 ,  G01S7/415 ,  G06T7/50 ,  G06V40/171 ,  H04N5/33 ,  G01P15/00 ,  G06T2207/10028

Abstract: This document describes techniques and systems for authentication management through IMU and radar. The techniques and systems use inertial sensor data from an inertial measurement unit (IMU) and/or radar data to manage authentication for a computing device. By so doing, the techniques conserve power, improve accuracy, or reduce latency relative to many common techniques and systems for computing-device authentication.

公开(公告)号：US11664017B2

公开(公告)日：2023-05-30

申请号：US17047472

申请日：2018-07-30

Applicant: Google LLC

Inventor： Tim Wantland ,  Brandon Barbello

IPC: G10L15/18 ,  G06N20/00 ,  G06F16/683 ,  G06F3/01 ,  G06F3/0481 ,  G06F3/16 ,  G10L15/22 ,  G10L15/30 ,  H04R1/08 ,  H04R1/10

CPC classification number: G10L15/1815 ,  G06F3/017 ,  G06F3/0481 ,  G06F3/167 ,  G06F16/685 ,  G06N20/00 ,  G10L15/22 ,  G10L15/30 ,  H04R1/08 ,  H04R1/1016

Abstract: Systems and methods for determining identifying semantic entities in audio signals are provided. A method can include obtaining, by a computing device comprising one or more processors and one or more memory devices, an audio signal concurrently heard by a user. The method can further include analyzing, by a machine-learned model stored on the computing device, at least a portion of the audio signal in a background of the computing device to determine one or more semantic entities. The method can further include displaying the one or more semantic entities on a display screen of the computing device.

公开(公告)号：US20220218224A1

公开(公告)日：2022-07-14

申请号：US17608319

申请日：2019-05-08

Applicant: Google LLC

Inventor： Dongeek Shin ,  Brandon Barbello ,  Shwetak Patel ,  Anupam Pathak ,  Michael Dixon

IPC: A61B5/0507 ,  A61B5/00 ,  A61B5/11 ,  A61B5/024 ,  A61B5/08 ,  G01S13/28

Abstract: Various arrangements for performing radar-based measurement of vital signs. Waveform data may be received then filtered of data indicative of static objects to obtain motion-indicative waveform data. The motion-indicative waveform data may be analyzed to determine one or more frequencies of movement present within the motion-indicative waveform data. A spectral analysis may be performed on the motion-indicative waveform data to determine a spectral-analysis state of a monitored region. The spectral-analysis state of the monitored region may be determined to match a predefined spectral-analysis state during which vital sign monitoring is permitted. One or more vital signs of a monitored user present within the monitored region may be determined and output based on analyzing the motion-indicative waveform data.

公开(公告)号：US10930251B2

公开(公告)日：2021-02-23

申请号：US16802024

申请日：2020-02-26

Applicant: Google LLC

Inventor： Leonardo Giusti ,  Ivan Poupyrev ,  Brandon Barbello ,  Patrick M. Amihood

IPC: G06F3/01 ,  G09G5/38 ,  G01S7/41 ,  G01S13/42 ,  H04M1/725

Abstract: This document describes techniques and systems that enable a smartphone-based radar system for facilitating awareness of user presence and orientation. The techniques and systems use a radar field to accurately determine a user's location and physical orientation with respect to an electronic device, such as a smartphone. The radar field also enables the device to receive 3D gestures from the user to interact with the device. The techniques allow the device to provide functionality based on the user's presence and orientation, and to appropriately adjust the timing, content, and format of the device's interactions with the user.

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.

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

IPC: G06F3/01 ,  G06V40/20

CPC classification number: G06F3/017 ,  G06V40/28

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.

公开(公告)号：US20230110421A1

公开(公告)日：2023-04-13

申请号：US18082205

申请日：2022-12-15

Applicant: Google LLC

Inventor： Tim Wantland ,  Brandon Barbello ,  Robert Berry

IPC: H04L67/63 ,  G06N20/00

Abstract: A computing system can be configured to input model input that includes context data into a machine-learned model and receive model output that describes one or more semantic entities referenced by the context data. The computing system can be configured to provide data descriptive of the semantic entity or entities to the computer application(s) and receive application output(s) respectively from the computing application(s) in response to providing the data descriptive of semantic entity or entities to the computer application(s). The application output(s) received from each computer application can describe available action(s) of the corresponding computer application with respect to the semantic entity or entities. The computing system can be configured to provide at least one indicator to a user that describes the available action(s) of the corresponding computer applications with respect to the semantic entity or entities.

公开(公告)号：US11553063B2

公开(公告)日：2023-01-10

申请号：US17311506

申请日：2019-01-10

Applicant: Google LLC

Inventor： Tim Wantland ,  Robert Berry ,  Brandon Barbello

IPC: H04L67/63 ,  G06N20/00

Abstract: A computing system can be configured to input model input that includes context data into a machine-learned model and receive model output that describes one or more semantic entities referenced by the context data. The computing system can be configured to provide data descriptive of the semantic entity or entities to the computer application(s) and receive application output(s) respectively from the computing application(s) in response to providing the data descriptive of semantic entity or entities to the computer application(s). The application output(s) received from each computer application can describe available action(s) of the corresponding computer application with respect to the semantic entity or entities. The computing system can be configured to provide at least one indicator to a user that describes the available action(s) of the corresponding computer applications with respect to the semantic entity or entities.

公开(公告)号：US20200064458A1

公开(公告)日：2020-02-27

申请号：US16108815

申请日：2018-08-22

Applicant: Google LLC

Inventor： Leonardo Giusti ,  Ivan Poupyrev ,  Brandon Barbello ,  Patrick M. Amihood

IPC: G01S13/42 ,  G06F3/16 ,  G06F3/01 ,  G01S13/89 ,  G01S7/02

Abstract: This document describes techniques and systems that enable radar-based gesture enhancement for voice interfaces. The techniques and systems use a radar field to accurately determine three-dimensional (3D) gestures that can be used instead of, or in combination with, a voice interface to enhance interactions with voice-controllable electronic devices. These techniques allow the user to make 3D gestures from a distance to provide a voice input trigger (e.g., a “listen” gesture), interrupt and correct inaccurate actions by the voice interface, and make natural and precise adjustments to functions controlled by voice commands.

公开(公告)号：US20190311714A1

公开(公告)日：2019-10-10

申请号：US15948378

申请日：2018-04-09

Applicant: Google LLC

Inventor： Brandon Barbello ,  Kyle Pedersen ,  David Jones ,  Tim Wantland

IPC: G10L15/22 ,  G06F17/28 ,  G06F3/16 ,  G06F3/0484 ,  G10L15/08 ,  G10L15/00

Abstract: Systems are provided to facilitate continuous detection of words, names, phrases, or other sounds of interest and, responsive to such detection, provide a related user experience. The user experience can include providing links to media, web searches, translation services, journaling applications, or other resources based on detected ambient speech or other sounds. To preserve the privacy of those using and/or proximate to such systems, the system refrains from transmitting any information related to the detected sound unless the system receives permission from a user. Such permission can include the user interacting with a provided web search link, media link, or other user interface element.