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US Patent 11481040 User-customizable machine-learning in radar-based gesture detection

Patent 11481040 was granted and assigned to Google on October, 2022 by the United States Patent and Trademark Office.

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Is a
Patent
Patent

Patent attributes

Patent Applicant
Google
Google
Current Assignee
Google
Google
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11481040
Date of Patent
October 25, 2022
Patent Application Number
17361824
Date Filed
June 29, 2021
Patent Citations
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US Patent 10073590 Reduced size user interface
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US Patent 10080528 Optical central venous pressure measurement
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US Patent 10082950 Finger-mapped character entry systems
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US Patent 10088908 Gesture detection and interactions
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US Patent 10139916 Wide-field radar-based gesture recognition
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US Patent 10155274 Attaching electronic components to interactive textiles
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US Patent 10175781 Interactive object with multiple electronics modules
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US Patent 10203405 Multitone radar with range determination and method of use
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Patent Citations Received
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US Patent 12085670 Advanced gaming and virtual reality control using radar
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US Patent 11698439 Gesture recognition using multiple antenna
0
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US Patent 11709552 RF-based micro-motion tracking for gesture tracking and recognition
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US Patent 12117560 Radar-enabled sensor fusion
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US Patent 11592909 Fine-motion virtual-reality or augmented-reality control using radar
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US Patent 11656336 Advanced gaming and virtual reality control using radar
0
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US Patent 11693092 Gesture recognition using multiple antenna
0
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US Patent 11698438 Gesture recognition using multiple antenna
0
Patent Primary Examiner
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Andre L Matthews

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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