US 12,446,837 B2
Biometric-based distress detection and delivery of assistance
Stacy F. Hobson, Poughkeepsie, NY (US); Cedric D. Cook, Richmond, TX (US); Osakpamwan Osaigbovo, Argyle, TX (US); and Myneeka Holloway, Austin, TX (US)
Assigned to International Business Machines Corporation, Armonk, NY (US)
Filed by International Business Machines Corporation, Armonk, NY (US)
Filed on Feb. 23, 2021, as Appl. No. 17/182,944.
Prior Publication US 2022/0265222 A1, Aug. 25, 2022
Int. Cl. A61B 5/00 (2006.01); G06V 20/40 (2022.01); G06V 40/10 (2022.01)
CPC A61B 5/746 (2013.01) [A61B 5/0006 (2013.01); A61B 5/0008 (2013.01); A61B 5/002 (2013.01); G06V 20/49 (2022.01); G06V 40/10 (2022.01); G06V 40/15 (2022.01)] 11 Claims
OG exemplary drawing
 
1. A computer-implemented method for biometric-based distress detection and assistance, the method comprising:
receiving biometric information associated with an entity and audio data associated with an environment of the entity;
calculating a distress score based on the biometric information;
analyzing the audio data to identify one or more distress factors, wherein the one or more distress factors are identified by analyzing the audio data using a machine learning model that is trained to identify the one or more distress factors based on a content of speech and a manner of speech;
in response to determining that the distress score exceeds a distress threshold and in response to identifying the one or more distress factors, transmitting a notification that the entity requires aid to a third party; and
in response to determining that the distress score exceeds the distress threshold:
forming a communication network among a plurality of ad hoc computing devices;
identifying one or more of the ad hoc computing devices in proximity to the entity, wherein identifying the one or more of the ad hoc computing devices comprises transmitting a first set of instructions from a client device of the entity to a first one or more ad hoc computing devices, and transmitting a second set of instructions from the first one or more ad hoc computing devices to a second one or more ad hoc computing devices; and
collecting video data and additional audio data that are associated with the environment of the entity from the one or more identified ad hoc computing devices, wherein the first one or more ad hoc computing devices collect the video data and additional audio data when the entity is within a threshold distance of the first one or more ad hoc computing devices, and wherein the second one or more ad hoc computing devices collect the video data and additional audio data when the entity is within the threshold distance of the second one or more ad hoc computing devices, and wherein the video data is analyzed to further identify that the one or more distress factors include one or more of: one or more individuals coming within a threshold distance of the entity, and raising of hands of the entity.