Method and system for mitigating physical risks in an iot environment

Patent metadata

Field	Value
Publication number	US-2023402187-A1
Application number	US-202318202687-A
Country	US
Kind code	A1
Filing date	May 26, 2023
Priority date	Jun 13, 2022
Publication date	Dec 14, 2023
Grant date	—

Abstract

A method for mitigating physical risks associated with a user in an Internet of Things (IoT) environment includes monitoring multi-modal input data associated with at least one multi-modal interaction of the user with at least one IoT device, identifying a change in at least one cognitive ability of the user, estimating a cognitive ability index of the user, predicting at least one physical risk associated with a current user activity, determining at least one corrective action to avoid the at least one physical risk, and controlling at least one IoT device to notify or perform the at least one corrective action such that the at least one physical risk is mitigated.

First claim

What is claimed is:

1 . A method for mitigating physical risks associated with a user in an Internet of Things (IoT) environment, the method comprising:
monitoring multi-modal input data over a first time period, the multi-modal input data being associated with at least one multi-modal interaction of the user with at least one IoT device in the IoT environment; identifying a change in at least one cognitive ability of the user, based on the monitored multi-modal input data; estimating a cognitive ability index of the user, based on the identified change in the at least one cognitive ability of the user; predicting at least one possible physical risk associated with a current user activity in the IoT environment based on a correlation of the estimated cognitive ability index with at least one cognitive health index from a plurality of cognitive health indexes; determining at least one corrective action to avoid the predicted at least one possible physical risk associated with the current user activity; and controlling at least one IoT device in the IoT environment to notify or perform the determined at least one corrective action such that the predicted at least one possible physical risk is mitigated.

2 . The method of claim 1 , further comprising:
correlating the estimated cognitive ability index with the at least one cognitive health index; and predicting the at least one possible physical risk associated with the current user activity based on the correlation of the estimated cognitive ability index with the at least one cognitive health index.

3 . The method of claim 1 , wherein the at least one cognitive health index indicates at least one of a physical fitness, a mental fitness, and vulnerability of the user to perform an activity.

4 . The method of claim 1 , wherein the change in the at least one cognitive ability of the user corresponds to a change in cognitive health of the user to perform a task comprising at least one of a physical activity and a mental activity.

5 . The method of claim 1 , wherein the determined at least one corrective action corresponds to an action that, when performed by the user, results in a mitigation of the predicted at least one possible physical risk that may occur during the current user activity.

6 . The method of claim 1 , further comprising:
analyzing the multi-modal input data, wherein the multi-modal input data includes a plurality of parameters related to the at least one multi-modal interaction of the user; classifying each of a corresponding parameter from the plurality of parameters related to the at least one multi-modal interaction of the user; and generating an updated multi-modal input data based on the classification of the corresponding parameter of the plurality of parameters.

7 . The method of claim 1 , further comprising:
monitoring, over the first time period, at least one user activity of the user in the IoT environment; and generating multi-modal cognitive data corresponding to the user based on the monitored multi-modal input data and the monitored at least one user activity, the multi-modal cognitive data comprising information related to the plurality of cognitive health indexes.

8 . The method of claim 7 , wherein the monitored at least one user activity of the user is a location-based activity corresponding to different locations within the IoT environment.

9 . The method of claim 7 , wherein the identifying the change in the at least one cognitive ability of the user comprises:
obtaining predefined cognitive decline criteria from a knowledge database; converting the generated the multi-modal cognitive data into a plurality of weighted standard cognitive indexes based on the obtained predefined cognitive decline criteria; comparing a corresponding cognitive health index of the plurality of cognitive health indexes with a corresponding weighted standard cognitive index among the plurality of weighted standard cognitive indexes; and identifying the change in the at least one cognitive ability of the user based on a result of the comparison.

10 . The method of claim 1 , wherein the determining the at least one corrective action comprises:
predicting a capability of the user to handle the predicted at least one possible physical risk associated with the current user activity based on the cognitive ability index of the user; predicting a type of the predicted at least one possible physical risk based on the predicted capability of the user to handle the predicted at least one possible physical risk; and determining the at least one corrective action based on the predicted capability of the user to handle the predicted at least one possible physical risk and the predicted type of the at least one possible physical risk.

11 . The method of claim 1 , further comprising:
predicting a physical location within the IoT environment where the predicted at least one possible physical risk may occur during the current user activity based on a detection of a user's location within the IoT environment and an identification of a type of the current user activity; and controlling at least one IoT device in the IoT environment to notify the determined at least one corrective action based on the predicted physical location to mitigate the predicted at least one possible physical risk.

12 . The method of claim 1 , wherein the multi-modal input data comprises information regarding cognitive health parameters associated with the user, and
wherein the cognitive health parameters correspond to at least one of Montreal Cognitive Assessment (MoCA), circadian rhythm disruption computation (CRDC), a Blood alcohol concentration (BAC) value, a percentage of water in user's body, chronic illness including arthritis, vitamin B-12 deficiency, underactive thyroid gland, and diabetic condition, a level of each of Dementia, Alzheimer's, Parkinson's, and cardiovascular diseases, and a level of blood sugar during at least one of pre-meal, post-meal, fasting.

13 . A system for mitigating physical risks associated with a user in an Internet of Things (IoT) environment, the system comprising:
a memory storing instructions; and at least one processor configured to execute the instructions to: monitor multi-modal input data over a first time period, the multi-modal input data being associated with at least one multi-modal interaction with at least one IoT device in the IoT environment, identify a change in at least one cognitive ability of the user, based on the monitored multi-modal input data, estimate a cognitive ability index of the user based on the identified change in the at least one cognitive ability of the user; predict at least one possible physical risk associated with a current user activity in the IoT environment based on a correlation of the estimated cognitive ability index with at least one cognitive health index from a plurality of cognitive health indexes, determine at least one corrective action to avoid the predicted at least one possible physical risk associated with the current user activity, and control at least one IoT device in the IoT environment to notify or perform the determined at least one corrective action such that the predicted at least one possible physical risk is mitigated.

14 . The system of claim 13 , wherein the at least one processor is further configured to execute the instructions to:
correlate the estimated cognitive ability index with the at least one cognitive health index, and predict the at least one possible physical risk associated with the current user activity based on the correlation of the estim

Assignees

• Samsung Electronics Co Ltd

Inventors

• Kumar Niraj
• Baghel Bhiman Kumar

Classifications

• G16H20/70

  relating to mental therapies, e.g. psychological therapy or autogenous training · CPC title

• G16H10/60

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

• G16H50/20

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

• G16H50/30 Primary

  for calculating health indices; for individual health risk assessment · CPC title

• G16H40/60

  for the operation of medical equipment or devices · CPC title