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US Patent 11080556 User-customizable machine-learning in radar-based gesture detection

Patent 11080556 was granted and assigned to Google on August, 2021 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
0

Patent attributes

Patent Applicant
Google
Google
0
Current Assignee
Google
Google
0
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
110805560
Patent Inventor Names
Ivan Poupyrev0
Jaime Lien0
Nicholas Edward Gillian0
Patrick M. Amihood0
Date of Patent
August 3, 2021
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Patent Application Number
201610060
Date Filed
October 6, 2016
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Patent Citations Received
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US Patent 12117560 Radar-enabled sensor fusion
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US Patent 11698438 Gesture recognition using multiple antenna
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US Patent 11709552 RF-based micro-motion tracking for gesture tracking and recognition
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US Patent 11804077 Generic gesture detecting method and generic gesture detecting device
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US Patent 11385721 Application-based signal processing parameters in radar-based detection
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US Patent 11961009 Artificial intelligence algorithm access to multiple users
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US Patent 12085670 Advanced gaming and virtual reality control using radar
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US Patent 11175743 Gesture recognition using multiple antenna
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Patent 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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