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:
May. 16, 2023

Filed:

Feb. 10, 2021
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 ...
G06K 9/00 (2022.01); G06V 40/16 (2022.01); G10L 25/63 (2013.01); H04N 7/15 (2006.01); H04N 7/14 (2006.01); G06V 10/75 (2022.01); G06V 20/64 (2022.01); G06T 7/33 (2017.01); G06Q 30/02 (2023.01); G10L 25/57 (2013.01);
U.S. Cl.
CPC ...
G06V 40/176 (2022.01); G06Q 30/0281 (2013.01); G06T 7/337 (2017.01); G06T 7/344 (2017.01); G06V 10/7553 (2022.01); G06V 20/64 (2022.01); G06V 40/165 (2022.01); G06V 40/167 (2022.01); G06V 40/171 (2022.01); G10L 25/63 (2013.01); H04N 7/147 (2013.01); H04N 7/15 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/30201 (2013.01); G10L 25/57 (2013.01);
Abstract

Methods and systems for videoconferencing include recognition of emotions related to one videoconference participant such as a customer. This ultimately enables another videoconference participant, such as a service provider or supervisor, to handle angry, annoyed, or distressed customers. One example method includes the steps of receiving a video that includes a sequence of images, detecting at least one object of interest (e.g., a face), locating feature reference points of the at least one object of interest, aligning a virtual face mesh to the at least one object of interest based on the feature reference points, finding over the sequence of images at least one deformation of the virtual face mesh that reflect face mimics, determining that the at least one deformation refers to a facial emotion selected from a plurality of reference facial emotions, and generating a communication bearing data associated with the facial emotion.


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