US 12,032,660 B2
Empathic artificial intelligence systems
Alan Cowen, New York, NY (US); Dacher Keltner, Berkeley, CA (US); and Bill Schoenfeld, Tokyo (JP)
Assigned to Hume AI, Inc., New York, NY (US)
Filed by Hume AI Inc., New York, NY (US)
Filed on May 23, 2023, as Appl. No. 18/322,347.
Application 18/322,347 is a continuation of application No. 17/965,375, filed on Oct. 13, 2022, granted, now 11,698,947.
Application 17/965,375 is a continuation of application No. 17/742,246, filed on May 11, 2022, granted, now 11,551,031, issued on Jan. 10, 2023.
Claims priority of provisional application 63/209,870, filed on Jun. 11, 2021.
Prior Publication US 2024/0134940 A1, Apr. 25, 2024
Int. Cl. G06F 18/40 (2023.01); A61B 5/16 (2006.01); G06F 18/214 (2023.01); G06N 20/00 (2019.01); G16H 50/20 (2018.01)
CPC G06F 18/41 (2023.01) [A61B 5/165 (2013.01); G06F 18/2148 (2023.01); G16H 50/20 (2018.01); G06N 20/00 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A method for generating media data, the method comprising:
displaying a predefined media content and a plurality of predefined expression tags;
receiving, from a user, a selection of one or more expression tags from the plurality of predefined expression tags;
receiving a recording of the user imitating the predefined media content;
training a machine learning model based on the recording of the user and the selected one or more expression tags; and
generating a media output by providing an input indicative of an expression to the trained machine learning model.