Meta patents wristband that simplifies complex hand gestures
Meta has been granted a patent for a system that uses sensors in a wearable device to track how users move their hands. The technology analyzes these movements to suggest simpler, shorter gestures that achieve the same result, reducing the physical effort required to control a device.
In the filing’s own words
A method of identifying devolved sequences of handwriting motions is described. The method includes obtaining, via sensors of a wearable device of a computing system, data corresponding to a user attempting to perform a sequence of handwriting motions associated with one or more target inputs while wearing the wearable device. The method includes identifying, based on at least (i) the data corresponding to the user attempting to perform the sequence of handwriting motion and (ii) the one or more target inputs associated with the sequence of handwriting motions, a devolved sequence of handwriting motions to suggest to the user for inputting a respective target input of the one or more target inputs. The devolved sequence of handwriting motions is a different sequence and includes fewer handwriting motions as compared to the sequence of handwriting motions. And the method includes presenting a representation of the devolved sequence of handwriting motions.
What exactly they claim (claim 1)
1. A non-transitory computer-readable storage medium comprising instructions for: obtaining, via one or more sensors of a wearable electronic device in operable communication with a computing system, data corresponding to a user attempting to perform a sequence of handwriting motions associated with one or more target inputs while wearing the wearable electronic device of the computing system, wherein: the one or more sensors include a biopotential-signal-sensing component, and the biopotential-signal-sensing component is configured to detect data used to determine respective handwriting motions performed by the user; identifying, based on at least (i) the data corresponding to the user attempting to perform the sequence of handwriting motions and (ii) the one or more target inputs associated with the sequence of handwriting motions: a devolved sequence of handwriting motions to suggest to the user for inputting a respective target input of the one or more target inputs, wherein: the devolved sequence of handwriting motions is a different sequence as compared to the sequence of handwriting motions, and includes fewer handwriting motions as compared to the sequence of handwriting motions; and causing presentation, via the computing system, of a representation of the devolved sequence of handwriting motions.
Facts
- Company
- Meta (Meta Platforms Technologies, LLC)
- Official title
- Methods for identifying devolved sequences of handwriting motions for generating target inputs using a co-adapted input-detection model, and devices and systems therefor
- Patent number
- US12737110B2
- Application number
- 18905099
- Filed
- Oct 2, 2024
- Granted
- Sep 15, 2026
- Inventors
- 12
- Claims
- 20
Classified under
G06F 3/04883 Physics & computingG06T 11/00 Physics & computingG06F 3/015 Physics & computingG06T 2200/24 Physics & computingMore from Meta in Wearables
- Meta patents wristband tech that saves battery by checking hand gestures in two steps Sep 1, 2026
- Meta patents smart glasses that beam your voice to a friend's earbuds Sep 10, 2026
- Meta patents hand gestures that switch controls between watch and headset Sep 1, 2026
- Meta patents wristband that lowers video quality to save battery Sep 8, 2026
- Meta patents folding case that holds smart glasses by the nose bridge Oct 6, 2026
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.