US 12,272,178 B2
Sign language sentiment analysis
Adhiraj Ganpat Prajapati, St. Paul, MN (US)
Assigned to MatrixCare, Inc., Bloomington, MN (US)
Filed by MatrixCare, Inc., Bloomington, MN (US)
Filed on Jun. 1, 2022, as Appl. No. 17/804,961.
Claims priority of provisional application 63/362,225, filed on Mar. 31, 2022.
Prior Publication US 2023/0316812 A1, Oct. 5, 2023
Int. Cl. G06V 40/20 (2022.01); G06V 10/776 (2022.01); G06V 40/16 (2022.01)
CPC G06V 40/28 (2022.01) [G06V 10/776 (2022.01); G06V 40/176 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A method, comprising:
capturing, using a camera, a video containing a plurality of sign language motions made by a first individual;
predicting, using a trained machine learning (ML) model, a first mood of the first individual based on characterizing the plurality of sign language motions in the video;
predicting, using a first sentiment analysis technique, a second mood of the first individual based on other information in the video besides the plurality of sign language motions;
determining there is a conflict between the first mood predicted using the trained ML model and the second mood predicted using the first sentiment analysis technique; and
retraining, after determining the conflict, the ML model based on an annotated video of the first individual performing a plurality of sign language motions.