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.

Date of Patent:
Mar. 05, 2024

Filed:

Oct. 29, 2019
Applicant:

Snap Inc., Santa Monica, CA (US);

Inventors:

Victor Shaburov, Castro Valley, CA (US);

Yurii Monastyrshyn, Santa Monica, CA (US);

Assignee:

SNAP INC., Santa Monica, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 10/0639 (2023.01); G06V 40/16 (2022.01); G10L 25/63 (2013.01); H04N 21/4402 (2011.01); G10L 15/22 (2006.01); G10L 17/26 (2013.01); H04N 7/15 (2006.01); H04N 21/442 (2011.01); H04N 21/4788 (2011.01);
U.S. Cl.
CPC ...
G06Q 10/06395 (2013.01); G06Q 10/06393 (2013.01); G06V 40/174 (2022.01); H04N 21/440218 (2013.01); G10L 2015/227 (2013.01); G10L 17/26 (2013.01); G10L 25/63 (2013.01); H04N 7/15 (2013.01); H04N 21/44218 (2013.01); H04N 21/4788 (2013.01);
Abstract

Methods and systems for videoconferencing include generating work quality metrics based on emotion recognition of an individual such as a call center agent. The work quality metrics allow for workforce optimization. One example method includes the steps of receiving a video including a sequence of images, detecting an individual in one or more of the images, locating feature reference points of the individual, aligning a virtual face mesh to the individual in one or more of the images based at least in part on the feature reference points, dynamically determining over the sequence of images at least one deformation of the virtual face mesh, determining that the at least one deformation refers to at least one facial emotion selected from a plurality of reference facial emotions, and generating quality metrics including at least one work quality parameter associated with the individual based on the at least one facial emotion.


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