US 12,285,255 B2
Sensor device-based detection of trauma events and responses
Amee Sheth, Brick, NJ (US); Laura Nordyke, Kenmore, WA (US); and Jay Shah, Monroe, NJ (US)
Assigned to AT&T Intellectual Property I, L.P., Atlanta, GA (US)
Filed by AT&T Intellectual Property I, L.P., Atlanta, GA (US)
Filed on Feb. 22, 2022, as Appl. No. 17/677,083.
Prior Publication US 2023/0263441 A1, Aug. 24, 2023
Int. Cl. A61B 5/16 (2006.01); A61B 5/00 (2006.01); G06N 20/20 (2019.01); G16Y 40/10 (2020.01)
CPC A61B 5/165 (2013.01) [A61B 5/7465 (2013.01); A61B 5/7475 (2013.01); G06N 20/20 (2019.01); G16Y 40/10 (2020.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
obtaining, by a processing system including at least one processor, data associated with a user, wherein the data associated with the user includes at least one of: visual data captured via at least one camera associated with the user or audio data captured via at least one microphone associated with the user, wherein the data associated with the user further comprises calendar data of the user, and wherein the calendar data includes at least one of: a quantity of time at work for the user within a designated time period or a commute time of the user within the designated time period;
detecting, by the processing system, at least one trauma event of at least one defined trauma event type in at least one of: the visual data or the audio data via at least one classification model;
identifying, by the processing system, a plurality of stressor indicators within the data associated with the user including at least the calendar data of the user;
determining, by the processing system responsive to the detecting of the at least one trauma event, a stress score of the user based upon at least a portion of the data associated with the user in accordance with a stress prediction model, wherein the determining the stress score of the user comprises determining the stress score of the user based upon the plurality of stressor indicators in accordance with the stress prediction model; and
generating, by the processing system, an alert in response to the stress score of the user exceeding a threshold.