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US Patent 12093463 Context-sensitive control of radar-based gesture-recognition

Patent 12093463 was granted and assigned to Google on September, 2024 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent
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Patent attributes

Patent Applicant
Google
Google
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Current Assignee
Google
Google
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
120934630
Patent Inventor Names
Tyler Reed Kugler0
Patrick M. Amihood0
Devon James O'Reilley Stern0
Leonardo Giusti0
Jung Ook Hong0
Vignesh Sachidanandam0
Brandon Barbello0
John David Jacobs0
...
Date of Patent
September 17, 2024
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Patent Application Number
178222770
Date Filed
August 25, 2022
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Patent Citations
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US Patent 8373666 Mobile terminal using proximity sensor and control method thereof
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US Patent 8508347 Apparatus and method for proximity based input
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US Patent 8659548 Enhanced camera-based input
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US Patent 8854433 Method and system enabling natural user interface gestures with an electronic system
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US Patent 9075429 Distortion correction for device display
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US Patent 9134798 Gestures, interactions, and common ground in a surface computing environment
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US Patent 9207852 Input mechanisms for electronic devices
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US Patent 9448634 System and method for providing rewards to a user in a virtual space based on user performance of gestures
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...
Patent Primary Examiner
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Grant Sitta
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CPC Code
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H04M 1/724634
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H04M 2250/12
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H04M 1/72448
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H04M 1/72463
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Y02D 30/70
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G06V 10/454
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G06V 10/82
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G06V 40/161
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Patent 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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