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Google patents radar that learns new hand gestures automatically

Patent drawing
Patent drawing from the official filing.

This filing describes a system where a device uses radar to detect hand movements that it does not currently recognize. If the user issues a command near the time of the movement, the device saves the radar data for that specific motion as a new gesture. This allows the system to learn new controls over time without the user needing to go through a separate setup process.

Why it mattersIt offers a smoother way to interact with devices by removing the need for manual programming of custom hand signals.

In the filing’s own words

Techniques, apparatuses, and systems for in-line learning of new gestures for radar-enabled computing devices are described in this document. A computing system may store radar-signal characteristics of a new gesture to enable the computing system to recognize a new gesture and perform a command associated with the new gesture. Specifically, a radar system may detect a gesture performed by a user and fail to correlate that gesture to one or more known gestures. The computing system may receive a new command proximate to detecting the gesture and determine that the detected gesture is a new gesture associated with the new command. As such, the computing system may store a radar-signal characteristic of the new gesture effective to recognize a performance of the gesture in the future and respond by performing the command. In doing so, the computing system may periodically learn new gestures without requiring dedicated training from the user.

What exactly they claim (claim 1)

1. A method comprising: detecting, using a radar system associated with a computing device, a gesture performed by a user, the gesture associated with a radar-signal characteristic; comparing the radar-signal characteristic associated with the gesture performed by the user to one or more stored radar-signal characteristics, the comparing effective to determine a lack of correlation to one or more known gestures with which the one or more stored radar-signal characteristics are associated, the one or more known gestures associated with one or more known commands; receiving, proximate with detecting the gesture, a new command; responsive to the comparing effective to determine the lack of correlation and the receiving the new command, determining that the gesture is a new gesture associated with the new command; and storing the associated radar-signal characteristic to enable recognition of the new gesture at a future time effective to cause performance of the new command.

Facts

Company
Google (Google LLC)
Official title
In-Line Learning of New Gestures for Radar-Enabled Computing Devices
Publication number
US20260329386A1
Application number
19113156
Filed
Sep 30, 2022
Published
Oct 22, 2026
Inventors
6
Claims
20

Classified under

G06F 3/017 Physics & computingG01S 13/58 Physics & computingG01S 13/88 Physics & computing

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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.