US 11,992,340 B2
Efficient wellness measurement in ear-wearable devices
Jingjing Xu, Eden Prairie, MN (US); Justin Burwinkel, Eden Prairie, MN (US); Kenneth Jensen, Brunswick, MD (US); Jason Galster, Studio City, CA (US); Sahar Akram, Foster City, CA (US); and Adriana Goyette, San Jose, CA (US)
Assigned to Starkey Laboratories, Inc., Eden Prairie, MN (US)
Filed by Starkey Laboratories, Inc., Eden Prairie, MN (US)
Filed on Mar. 31, 2022, as Appl. No. 17/657,556.
Application 17/657,556 is a continuation of application No. 16/777,494, filed on Jan. 30, 2020, granted, now 11,317,863.
Claims priority of provisional application 62/800,227, filed on Feb. 1, 2019.
Prior Publication US 2022/0313162 A1, Oct. 6, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. A61B 5/00 (2006.01); A61B 5/0205 (2006.01); A61B 5/024 (2006.01); A61B 5/16 (2006.01); A61B 5/369 (2021.01); G06N 3/08 (2023.01); G06N 20/00 (2019.01); H04R 3/00 (2006.01)
CPC A61B 5/6815 (2013.01) [A61B 5/0002 (2013.01); A61B 5/0024 (2013.01); A61B 5/0205 (2013.01); A61B 5/165 (2013.01); A61B 5/486 (2013.01); A61B 5/742 (2013.01); G06N 3/08 (2013.01); G06N 20/00 (2019.01); H04R 3/005 (2013.01); A61B 5/02438 (2013.01); A61B 5/369 (2021.01); A61B 2562/0219 (2013.01); A61B 2562/0223 (2013.01)] 17 Claims
OG exemplary drawing
 
1. A method comprising:
determining, by one or more processing circuits, based on data generated by a first set of sensors powered by one or more batteries of one or more ear-wearable devices, that a user of the one or more ear-wearable device is currently in an environment that includes human-directed communication signals, wherein a second set of sensors includes at least one sensor that is not included in the first set of sensors;
in response to determining that the user is currently in the environment that includes human-directed communication signals, activating, by the one or more processing circuits, the second set of sensors and/or activating, by the one or more processing circuits, wireless streaming of data associated with the second set of sensors;
determining, by the one or more processing circuits, based on the data associated with the second set of sensors, a measure of complexity of social engagement of the user; and
generating, by the one or more processing circuits, a visual representation of the measure of complexity of social engagement of the user.