The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Feb. 15, 2022
Filed:
Sep. 02, 2020
Applicant:
Facebook Technologies, Llc, Menlo Park, CA (US);
Inventors:
William Crosby Presant, Seattle, WA (US);
Francislav P. Penov, Kirkland, WA (US);
Anuj Kumar, Santa Clara, CA (US);
Assignee:
Facebook Technologies, LLC., Menlo Park, CA (US);
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 10/00 (2012.01); G10L 15/18 (2013.01); G06F 9/451 (2018.01); G10L 15/183 (2013.01); G10L 15/22 (2006.01); G06F 16/338 (2019.01); G06F 16/332 (2019.01); G06F 16/33 (2019.01); G06N 20/00 (2019.01); G06F 16/9535 (2019.01); G06Q 50/00 (2012.01); H04L 29/08 (2006.01); G06F 16/176 (2019.01); G10L 15/06 (2013.01); G10L 15/16 (2006.01); G06F 3/01 (2006.01); G06F 16/9032 (2019.01); G06F 16/2457 (2019.01); H04L 12/58 (2006.01); G06F 3/16 (2006.01); G06K 9/00 (2022.01); G06K 9/62 (2022.01); G06N 3/08 (2006.01); G10L 15/26 (2006.01); G06F 16/9038 (2019.01); G06F 16/904 (2019.01); G06F 40/30 (2020.01); G06F 40/40 (2020.01); G06F 16/22 (2019.01); G06F 16/23 (2019.01); G06F 7/14 (2006.01); H04L 12/26 (2006.01); H04L 12/28 (2006.01); H04L 12/24 (2006.01); H04W 12/08 (2021.01); G10L 15/07 (2013.01); G10L 17/22 (2013.01); G06N 3/00 (2006.01); G10L 17/06 (2013.01); G06F 16/248 (2019.01); G06F 16/438 (2019.01); G06F 16/951 (2019.01); G06F 16/242 (2019.01); G06F 16/2455 (2019.01); G10L 15/02 (2006.01); G06F 16/903 (2019.01); G06F 40/205 (2020.01); G10L 15/187 (2013.01); G06F 16/28 (2019.01); G10L 13/00 (2006.01); G10L 13/04 (2013.01);
U.S. Cl.
CPC ...
G06F 9/453 (2018.02); G06F 3/011 (2013.01); G06F 3/013 (2013.01); G06F 3/017 (2013.01); G06F 3/167 (2013.01); G06F 7/14 (2013.01); G06F 16/176 (2019.01); G06F 16/2255 (2019.01); G06F 16/2365 (2019.01); G06F 16/243 (2019.01); G06F 16/248 (2019.01); G06F 16/24552 (2019.01); G06F 16/24575 (2019.01); G06F 16/24578 (2019.01); G06F 16/285 (2019.01); G06F 16/338 (2019.01); G06F 16/3323 (2019.01); G06F 16/3329 (2019.01); G06F 16/3344 (2019.01); G06F 16/4393 (2019.01); G06F 16/904 (2019.01); G06F 16/9038 (2019.01); G06F 16/90332 (2019.01); G06F 16/90335 (2019.01); G06F 16/951 (2019.01); G06F 16/9535 (2019.01); G06F 40/205 (2020.01); G06F 40/30 (2020.01); G06F 40/40 (2020.01); G06K 9/00288 (2013.01); G06K 9/00355 (2013.01); G06K 9/00664 (2013.01); G06K 9/6269 (2013.01); G06N 3/006 (2013.01); G06N 3/08 (2013.01); G06N 20/00 (2019.01); G06Q 50/01 (2013.01); G10L 15/02 (2013.01); G10L 15/063 (2013.01); G10L 15/07 (2013.01); G10L 15/16 (2013.01); G10L 15/183 (2013.01); G10L 15/187 (2013.01); G10L 15/1815 (2013.01); G10L 15/1822 (2013.01); G10L 15/22 (2013.01); G10L 15/26 (2013.01); G10L 17/06 (2013.01); G10L 17/22 (2013.01); H04L 12/2816 (2013.01); H04L 41/20 (2013.01); H04L 41/22 (2013.01); H04L 43/0882 (2013.01); H04L 43/0894 (2013.01); H04L 51/02 (2013.01); H04L 51/16 (2013.01); H04L 67/22 (2013.01); H04L 67/2828 (2013.01); H04L 67/306 (2013.01); H04L 67/36 (2013.01); H04W 12/08 (2013.01); G06F 2216/13 (2013.01); G10L 13/00 (2013.01); G10L 13/04 (2013.01); G10L 2015/223 (2013.01); G10L 2015/225 (2013.01); H04L 51/046 (2013.01); H04L 67/10 (2013.01); H04L 67/20 (2013.01);
Abstract
In one embodiment, a method includes detecting a user input comprising an incomplete gesture performed by one or more hands of a first user by a client system associated with the first user; selecting one or more candidate gestures from a plurality of pre-defined gestures by the client system based on a personalized gesture-recognition model, wherein each of the candidate gestures is associated with a confidence score representing a likelihood the first user intended to input the respective candidate gesture, and presenting one or more suggested inputs corresponding to one or more of the candidate gestures at the client system.