US 11,893,152 B1
Sentiment-based adaptations of user representations in virtual environments
Ofir Ezrielev, Be'er Sheba (IL); Or Herman Saffar, Ofakim (IL); John Lawrence Dalton, Austin, TX (US); and Noga Gershon, Beer Sheva (IL)
Assigned to Dell Products L.P., Round Rock, TX (US)
Filed by Dell Products L.P., Round Rock, TX (US)
Filed on Feb. 15, 2023, as Appl. No. 18/110,047.
Int. Cl. G06F 3/01 (2006.01); G06V 10/774 (2022.01); G06V 40/20 (2022.01); G06V 40/16 (2022.01); G06T 11/00 (2006.01)
CPC G06F 3/011 (2013.01) [G06T 11/00 (2013.01); G06V 10/774 (2022.01); G06V 40/174 (2022.01); G06V 40/20 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A method, comprising:
obtaining information characterizing a first user and at least one other user interacting with a session of a virtual environment;
applying the information to at least one analytics engine to obtain a sentiment status indicating a sentiment of the at least one other user in the virtual environment, wherein the at least one analytics engine processes the obtained sentiment status of the at least one other user to select one or more adaptations of one or more of a facial expression and a body language of a representation of the first user from one or more of a plurality of learned sentiment-based facial expression examples and a plurality of learned sentiment-based body language examples, using the obtained sentiment status of the at least one other user; and
automatically initiating a rendering of the virtual environment using the selected one or more adaptations of the one or more of the facial expression and the body language of the representation of the first user in the virtual environment;
wherein the method is performed by at least one processing device comprising a processor coupled to a memory.