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Patent Agency Ranking
公开(公告)号：US20170097413A1
公开(公告)日：2017-04-06
申请号：US15286512
申请日：2016-10-05
Applicant: Google Inc.
Inventor： Nicholas Edward Gillian , Carsten C. Schwesig , Jaime Lien , Patrick M. Amihood , Ivan Poupyrev
CPC classification number: G06F3/017 , A63F13/21 , A63F13/24 , A63F2300/8082 , G01S7/41 , G01S7/415 , G01S13/56 , G01S13/66 , G01S13/86 , G01S13/865 , G01S13/867 , G01S13/90 , G01S13/931 , G01S19/42 , G06F1/163 , G06F3/011 , G06F3/0346 , G06F3/0484 , G06F3/165 , G06F16/245 , G06F21/6245 , G06F2203/0384 , G06K9/00201 , G06K9/6288 , G06K9/629 , G06T7/75 , G08C17/02 , G08C2201/93 , H04Q9/00 , H04Q2209/883
Abstract: This document describes apparatuses and techniques for radar-enabled sensor fusion. In some aspects, a radar field is provided and reflection signals that correspond to a target in the radar field are received. The reflection signals are transformed to provide radar data, from which a radar feature indicating a physical characteristic of the target is extracted. Based on the radar features, a sensor is activated to provide supplemental sensor data associated with the physical characteristic. The radar feature is then augmented with the supplemental sensor data to enhance the radar feature, such as by increasing an accuracy or resolution of the radar feature. By so doing, performance of sensor-based applications, which rely on the enhanced radar features, can be improved.
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公开(公告)号：US10401490B2
公开(公告)日：2019-09-03
申请号：US15286512
申请日：2016-10-05
Applicant: Google Inc.
Inventor： Nicholas Edward Gillian , Carsten C. Schwesig , Jaime Lien , Patrick M. Amihood , Ivan Poupyrev
IPC: G01S13/86 , G06F3/01 , G06K9/62 , G01S13/93 , G01S13/90 , G01S7/41 , G01S13/56 , H04Q9/00 , G06K9/00 , G06F16/245 , G06F21/62 , G08C17/02 , G06F1/16 , G06F3/0484 , G01S19/42 , G06F3/0346 , G06F3/16 , G06T7/00
Abstract: This document describes apparatuses and techniques for radar-enabled sensor fusion. In some aspects, a radar field is provided and reflection signals that correspond to a target in the radar field are received. The reflection signals are transformed to provide radar data, from which a radar feature indicating a physical characteristic of the target is extracted. Based on the radar features, a sensor is activated to provide supplemental sensor data associated with the physical characteristic. The radar feature is then augmented with the supplemental sensor data to enhance the radar feature, such as by increasing an accuracy or resolution of the radar feature. By so doing, performance of sensor-based applications, which rely on the enhanced radar features, can be improved.
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公开(公告)号：US11080556B1
公开(公告)日：2021-08-03
申请号：US15287359
申请日：2016-10-06
Applicant: Google Inc.
Inventor： Nicholas Edward Gillian , Jaime Lien , Patrick M. Amihood , Ivan Poupyrev
Abstract: Various embodiments dynamically learn user-customizable input gestures. A user can transition a radar-based gesture detection system into a gesture-learning mode. In turn, the radar-based gesture detection system emits a radar field configured to detect a gesture new to the radar-based gesture detection system. The radar-based gesture detection system receives incoming radio frequency (RF) signals generated by the outgoing RF signal reflecting off the gesture, and analyzes the incoming RF signals to learn one or more identifying characteristics about the gesture. Upon learning the identifying characteristics, the radar-based gesture detection system reconfigures a corresponding input identification system to detect the gesture when the one or more identifying characteristics are next identified, and transitions out of the gesture-learning mode.
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公开(公告)号：US10817065B1
公开(公告)日：2020-10-27
申请号：US15093533
申请日：2016-04-07
Applicant: Google Inc.
Inventor： Jaime Lien , Nicholas Edward Gillian , Ivan Poupyrev
Abstract: Various embodiments wirelessly detect micro gestures using multiple antenna of a gesture sensor device. At times, the gesture sensor device transmits multiple outgoing radio frequency (RF) signals, each outgoing RF signal transmitted via a respective antenna of the gesture sensor device. The outgoing RF signals are configured to help capture information that can be used to identify micro-gestures performed by a hand. The gesture sensor device captures incoming RF signals generated by the outgoing RF signals reflecting off of the hand, and then analyzes the incoming RF signals to identify the micro-gesture.
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公开(公告)号：US10222469B1
公开(公告)日：2019-03-05
申请号：US15287200
申请日：2016-10-06
Applicant: Google Inc.
Inventor： Nicholas Edward Gillian , Carsten C. Schwesig , Jaime Lien , Patrick M. Amihood , Ivan Poupyrev
Abstract: This document describes apparatuses and techniques for radar-based contextual sensing. In some aspects, a radar sensor of a device is activated to obtain radar data for a space of interest. Three-dimensional (3D) radar features are extracted from the radar data and positional data is received from sensors. Based on the positional data, spatial relation of the 3D radar features is determined to generate a set of 3D landmarks for the space. This set of 3D landmarks is then compared with known 3D context models to identify a 3D context model that matches the 3D landmarks. Based on a matching 3D context model, a context for the space is retrieved and used to configure contextual settings of the device. By so doing, contextual settings of the device be dynamically configured to address changes in context or for different device environments.
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