Method and electronic device for artificial intelligence (ai)-based assistive health sensing in internet of things network

Patent metadata

Field	Value
Publication number	US-2020035361-A1
Application number	US-201916523835-A
Country	US
Kind code	A1
Filing date	Jul 26, 2019
Priority date	Jul 26, 2018
Publication date	Jan 30, 2020
Grant date	—

Abstract

Embodiments herein disclose a method for AI-based assistive health sensing in an IoT network comprising a plurality of electronic devices connected with each other. The method includes obtaining, by a first electronic device from the plurality of electronic devices, at least one input indicating a current health condition of a user. Further, the method includes determining, by the first electronic device, at least one vital parameters of the user to be measured based on the current health conditions of the user using at least one AI model. Further, the method includes identifying, by the first electronic device, at least one second electronic device from the plurality of electronic devices to measure the at least one vital parameter for the user using the at least one AI model. Further, the method includes automatically initiating, by the first electronic device, a conversation with the user.

First claim

What is claimed is:

1 . A method for artificial intelligence (AI)-based assistive health sensing in an internet of things (IoT) network comprising a plurality of electronic devices connected with each other, comprising:
obtaining, by a first electronic device from the plurality of electronic devices, at least one input indicating a current health condition of a user; determining, by the first electronic device, at least one vital parameter of the user to be measured based on the current health condition of the user using at least one AI model; identifying, by the first electronic device, at least one second electronic device from the plurality of electronic devices to measure the at least one vital parameter for the user using the at least one AI model; and automatically initiating, by the first electronic device, a conversation with the user, wherein the conversation comprises an operating guidance to measure the at least one vital parameter of the user using the at least one second electronic device.

2 . The method of claim 1 , wherein identifying, by the first electronic device, the at least one second electronic device from the plurality of electronic devices to measure the at least one vital parameter for the user using the at least one AI model comprises:
determining, by the first electronic device, a capability of each of the plurality of electronic devices connected to the first electronic device; and identifying, by the first electronic device, the at least one second electronic device to measure the at least one vital parameter for the user based on the capability of each of the plurality of electronic devices.

3 . The method of claim 1 , further comprises:
obtaining, by the first electronic device, the at least one vital parameter of the user from the at least one second electronic device; analyzing, by the first electronic device, the at least one vital parameter obtained from the at least one second electronic device; and recommending, by the first electronic device, a caretaker related to the current health condition of the user based on the analysis.

4 . The method of claim 3 , further comprises:
after recommending the caretaker, transmitting the at least one vital parameter to the caretaker; and connecting the user with the caretaker for a consultation.

5 . The method of claim 1 , further comprises:
receiving, by the first electronic device, a health care instruction from a caretaker based on the at least one vital parameter; and monitoring, by the first electronic device, the health care instruction based on the at least one vital parameter.

6 . A method for artificial intelligence (AI)-based assistive health sensing in an internet of things (IoT) network comprising a plurality of electronic devices connected with each other, comprising:
obtaining, by a first electronic device from the plurality of electronic devices, at least one input indicating a current health condition of a user; automatically booking, by the first electronic device, an appointment with a caretaker related to the current health condition of the user; and automatically initiating, by the first electronic device, a conversation with the user to measure at least one vital parameter at a predetermined time prior to the appointment with the caretaker.

7 . The method of claim 6 , further comprises:
determining, by the first electronic device, a capability of each of the plurality of electronic devices connected to the first electronic device; identifying, by the first electronic device, at least one second electronic device to measure the at least one vital parameter for the user based on the capability of each of the plurality of electronic devices using at least one AI model; and initiating, by the first electronic device, the conversation comprising an operating guidance to measure the at least one vital parameter of the user using the at least one second electronic device.

8 . The method of claim 7 , further comprises:
obtaining, by the first electronic device, the at least one vital parameter using the at least one second electronic device for the user; and sharing, by the first electronic device, the at least one vital parameter with the caretaker prior to the appointment.

9 . The method of claim 6 , wherein automatically booking, by the first electronic device, the appointment with the caretaker related to the current health condition of the user comprises:
recommending by the first electronic device, the caretaker related to the current health condition of the user; receiving, by the first electronic device, a confirmation from the user for the appointment with the caretaker; and booking, by the first electronic device, the appointment with the caretaker.

10 . The method of claim 9 , further comprises:
receiving, by the first electronic device, a health care instruction from the caretaker based on the at least one vital parameter; and monitoring, by the first electronic device, the health care instruction based on the at least one vital parameter.

11 . An electronic device for artificial intelligence (AI)-based assistive health sensing in an internet of things (IoT) network comprising a plurality of electronic devices connected with each other, comprising:
a memory; at least one AI model; and a processor, coupled with the memory and the at least one AI model, configured to:
obtain at least one input indicating a current health condition of a user;
determine at least one vital parameter of the user to be measured based on the current health condition of the user using the at least one AI model;
identify at least one second electronic device from the plurality of electronic devices to measure the at least one vital parameter for the user using the at least one AI model; and
automatically initiate a conversation with the user, wherein the conversation comprises an operating guidance to measure the at least one vital parameter of the user using the at least one second electronic device.

12 . The electronic device of claim 11 , wherein to identify the at least one second electronic device from the plurality of electronic devices to measure the at least one vital parameter for the user using the at least one AI model, the processor is configured to:
determine a capability of each of the plurality of electronic devices connected to the electronic device; and identify the at least one second electronic device to measure the at least one vital parameter for the user based on the capability of each of the plurality of electronic devices.

13 . The electronic device of claim 11 , wherein the processor is further configured to:
obtain the at least one vital parameter of the user from the at least one second electronic device; analyze the at least one vital parameter obtained from the at least one second electronic device; and recommend a caretaker related to the current health condition of the user based on the analysis.

14 . The electronic device of claim 13 , wherein the processor is further configured to:
after recommending the caretaker to the user, transmit the at least one vital parameter to the caretaker; and connect the user with the caretaker for a consultation.

15 . The electronic device of claim 11 , wherein the processor is further configured to:
receive a health care instruction from a caretaker based on the at least one vital parameter; and monitor the health care instruction based on the at least one vital parameter.

16 . An electronic device for artificial intelligence (AI)-based assistive health sensing i

Assignees

• Samsung Electronics Co Ltd

Inventors

• Ellan Ilavarasu Jayabalan
• GANESH Ariyalur Chandrasekaran
• Palanisamy Rames

Classifications

• G16H40/67

  for remote operation · CPC title

• G16H10/60

  for patient-specific data, e.g. for electronic patient records · CPC title

• G16H40/20

  for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms · CPC title

• H04L67/12 Primary

  specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks · CPC title

• G16H50/20 Primary

  for computer-aided diagnosis, e.g. based on medical expert systems · CPC title