SYSTEM AND METHOD FOR MONITORING AND MANAGING A COGNITIVE LOAD OF A PERSON
A system and method for monitoring and managing a cognitive load of a person, including: determining, based on an analysis of at least one input data associated with a person, a current cognitive load score of the person; determining, based on the analysis of the at least one input data and the determined current cognitive load score, whether a reduction of the current cognitive load score of the person is desirable; and selecting at least one predetermined plan for execution based on when a reduction of the current cognitive load score of the person is desirable.
1 . A method for monitoring and managing a cognitive load of a person, comprising:
determining, based on an analysis of at least one input data associated with a person, a current cognitive load score of the person;
determining, based on the analysis of the at least one input data and the determined current cognitive load score, whether a reduction of the current cognitive load score of the person is desirable; and,
selecting at least one predetermined plan for execution based on when a reduction of the current cognitive load score of the person is desirable.
2 . The method of claim 1 , wherein the analysis is of the at least one input data associated with the person is performed using at least one of: a computer vision technique, an audio signal processing technique, and a machine learning technique.
3 . The method of claim 1 , wherein the determination of the current cognitive load score of the person is achieved using at least one machine learning technique.
4 . The method of claim 1 , wherein the at least one input data associated with a person includes input data associated with at least one of: the person directly, an environment of the person, and an interaction between the person and at least one entity.
5 . The method of claim 1 , further comprising:
executing the selected at least one predetermined plan.
6 . The method of claim 5 , wherein at least one resource of an electronic device is utilized for executing the selected at least one predetermined plan.
7 . The method of claim 1 , wherein the determination of whether a reduction of the current cognitive load score of the person is desirable is achieved using at least one machine learning technique.
8 . The method of claim 7 , wherein the at least one machine learning technique includes at least one of: a neural network, a recurrent neural network, decision tree learning, a Bayesian network, and clustering.
9 . The method of claim 1 , wherein determining the current cognitive load score of the person is performed by an artificial intelligence processor.
10 . A non-transitory computer readable medium having stored thereon instructions for causing a processing circuitry to perform a process, the process comprising:
determining, based on an analysis of at least one input data associated with a person, a current cognitive load score of the person;
determining, based on the analysis of the at least one input data and the determined current cognitive load score, whether a reduction of the current cognitive load score of the person is desirable; and,
selecting at least one predetermined plan for execution based on when a reduction of the current cognitive load score of the person is desirable.
11 . A system for monitoring and managing a cognitive load of a person, comprising:
a processing circuitry; and
a memory, the memory containing instructions that, when executed by the processing circuitry, configure the system to:
determine, based on an analysis of at least one input data associated with a person, a current cognitive load score of the person;
determine, based on the analysis of the at least one input data and the determined current cognitive load score, whether a reduction of the current cognitive load score of the person is desirable; and,
select at least one predetermined plan for execution based on when a reduction of the current cognitive load score of the person is desirable.
12 . The system of claim 11 , wherein the analysis is of the at least one input data associated with the person is performed using at least one of: a computer vision technique, an audio signal processing technique, and a machine learning technique.
13 . The system of claim 11 , wherein the determination of the current cognitive load score of the person is achieved using at least one machine learning technique.
14 . The system of claim 11 , wherein the at least one input data associated with a person includes input data associated with at least one of: the person directly, an environment of the person, and an interaction between the person and at least one entity.
15 . The system of claim 11 , wherein the system if further configured to:
execute the selected at least one predetermined plan.
16 . The system of claim 15 , wherein at least one resource of an electronic device is utilized for executing the selected at least one predetermined plan.
17 . The system of claim 11 , wherein the determination of whether a reduction of the current cognitive load score of the person is desirable is achieved using at least one machine learning technique.
18 . The system of claim 17 , wherein the at least one machine learning technique includes at least one of: a neural network, a recurrent neural network, decision tree learning, a Bayesian network, and clustering.
19 . The system of claim 11 , wherein determining the current cognitive load score of the person is performed by an artificial intelligence processor.