Internet of things (IoT) real-time response to defined symptoms

Patent metadata

Field	Value
Publication number	US-11744981-B2
Application number	US-202117503829-A
Country	US
Kind code	B2
Filing date	Oct 18, 2021
Priority date	Aug 21, 2018
Publication date	Sep 5, 2023
Grant date	Sep 5, 2023

Abstract

Systems, computer-implemented methods and/or computer program products that facilitate real-time response to defined symptoms are provided. In one embodiment, a computer-implemented method comprises: monitoring, by a system operatively coupled to a processor, a state of an entity; detecting, by the system, defined symptoms of the entity by analyzing the state of the entity; and transmitting, by the system, a signal that causes audio response or a haptic response to be provided to the entity, wherein transmission of the signal that causes the audio response or the haptic response is based on detection of the defined symptoms.

First claim

What is claimed is:

1. A system, comprising:
a memory that stores computer executable components;
a processor, operably coupled to the memory, and that executes the computer executable components stored in the memory, wherein the computer executable components comprise:
a machine learning component configured to:
track, via one or more sensors, locations of an entity and states of one or more characteristics of the entity over a defined period of time, and
train a neural network, based on correlating the locations with the states, to learn a first state of the one or more characteristics of the entity indicative of the entity having a fear of being in a confined space; and

a response component configured to:
in response to detecting, by the neural network, via the one or more sensors, the first state of the one or more characteristics of the entity indicative of the entity currently experiencing the fear of being in the confined space, generate an output configured to produce a physical response by the entity to induce a second state of the one or more characteristics of the entity indicative of not experiencing the fear of being in the confined space.

2. The system of claim 1 , wherein the output is an audio output.

3. The system of claim 1 , wherein the output is a haptic output.

4. The system of claim 1 , wherein the output is a visual output.

5. The system of claim 1 , wherein the output is a combination of two outputs selected from a group consisting of an audio output, a haptic output, a visual output.

6. The system of claim 1 , wherein the one or more sensors comprises a wearable sensor.

7. The system of claim 1 , further comprising a notification component that notifies a caregiver in response to the one or more characteristics of the entity remaining in the first state for a defined amount of time.

8. A computer-implemented method, comprising:
tracking, by a system operatively coupled to a processor, via one or more sensors, locations of an entity and states of one or more characteristics of the entity over a defined period of time;
training, by the system, a machine learning model, based on correlating the locations with the states, to learn a first state of the one or more characteristics of the entity indicative of the entity having a fear of being in a confined space; and
in response to detecting, by the machine learning model, via the one or more sensors, the first state of the one or more characteristics of the entity indicative of the entity currently experiencing the fear of being in the confined space, generating, by the system, an output configured to produce a physical response by the entity to induce a second state of the one or more characteristics of the entity indicative of not experiencing the fear of being in the confined space.

9. The computer-implemented method of claim 8 , wherein the output is an audio output.

10. The computer-implemented method of claim 8 , wherein the output is a haptic output.

11. The computer-implemented method of claim 8 , wherein the output is a visual output.

12. The computer-implemented method of claim 8 , wherein the output is a combination of two outputs selected from a group consisting of an audio output, a haptic output, a visual output.

13. The computer-implemented method of claim 8 , wherein the one or more sensors comprises a wearable sensor.

14. The computer-implemented method of claim 8 , further comprising notifying an emergency service in response to the one or more characteristics of the entity remaining in the first state for a defined amount of time.

15. A computer program product comprising a non-transitory computer readable medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to:
track, via one or more sensors, locations of an entity and states of one or more characteristics of the entity over a defined period of time;
train, a neural network, based on correlating the locations with the states, to learn a first state of the one or more characteristics of the entity indicative of the entity having a fear of being in a confined space; and
in response to detection, by the neural network via the one or more sensors, the first state of the one or more characteristics of the entity indicative of the entity currently experiencing the fear of being in the confined space, generate an output configured to produce a physical response by the entity to induce a second state of the one or more characteristics of the entity indicative of not experiencing the fear of being in the confined space.

16. The computer program product of claim 15 , wherein the output is an audio output.

17. The computer program product of claim 15 , wherein the output is a haptic output.

18. The computer program product of claim 17 , wherein the program instructions are further executable to cause the processor to:
notify at least one of a caregiver or emergency service in response to the one or more characteristics of the entity remaining in the first state for a defined amount of time.

19. The computer program product of claim 15 , wherein the output is a visual output.

20. The computer program product of claim 15 , wherein the output is a combination of two outputs selected from a group consisting of an audio output, a haptic output, a visual output.

Assignees

• IBM

Inventors

• Amin Mahmoud
• Tunga Krishna R
• Clevenger Lawrence A
• Bi Zhenxing
• Clevenger Leigh Anne H

Classifications

• A61M21/02 Primary

  for inducing sleep or relaxation, e.g. by direct nerve stimulation, hypnosis, analgesia (for massage A61H; electrotherapy A61N, e.g. applying alternating or intermittent electric currents for producing anaesthesia A61N1/36021) · CPC title

• A61B5/7264

  Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems · CPC title

• A61B5/7405

  using sound · CPC title

• A61B5/747

  in case of emergency, i.e. alerting emergency services · CPC title

• A61B5/749

  Voice-controlled interfaces · CPC title