Systems and methods for determining actor status according to behavioral phenomena
View Patent ↗Aspects relate to systems and methods for determining actor status according to behavioral phenomena. An exemplary system includes an eye sensor configured to detect an eye parameter as a function of an eye phenomenon, a speech sensor configured to detect a speech parameter as a function of a speech phenomenon, and a processor in communication with the eye sensor and the speech sensor; the processor is configured to receive the eye parameter and the speech parameter, determine an eye pattern as a function of the eye parameter, determine a speech pattern as a function of the speech parameter, and correlate one or more of the eye pattern and the speech pattern to a cognitive status.
1 . A system for determining actor status according to behavioral phenomenon, the system comprising:
at least a speech sensor configured to detect at least a speech parameter of a user as a function of at least a speech phenomenon; and
a processor in communication with the at least a speech sensor and configured to:
receive the at least a speech parameter;
determine at least a speech pattern as a function of the at least a speech parameter; and
correlate the at least a speech pattern to a cognitive status, wherein correlating to the cognitive status comprises:
receiving cognitive status training data comprising a plurality of speech patterns correlated to a plurality of cognitive statuses;
training a cognitive status machine learning model as a function of the cognitive status training data; and
determining the cognitive status as a function of the cognitive status machine learning model, wherein the cognitive status is measured relative to a level of cognitive performance required for a given task.
2 . The system of claim 1 , further comprising:
at least an eye sensor configured to detect at least an eye parameter of the user as a function of at least an eye phenomenon; and
wherein the processor is in communication with the at least an eye sensor and configured to:
receive the at least an eye parameter;
determine at least an eye pattern as a function of the at least an eye parameter; and
correlate the at least an eye pattern to the cognitive status.
3 . The system of claim 2 , wherein the cognitive status training data comprises a plurality of eye patterns correlated to the plurality of cognitive statuses.
4 . The system of claim 1 , wherein correlating the at least a speech pattern to a cognitive status further comprises compiling the cognitive status training data from historic information of the user.
5 . The system of claim 1 , wherein determining the at least a speech pattern comprises:
inputting speech pattern training data into a speech pattern machine learning algorithm, wherein the speech pattern training data comprises a plurality of speech parameters correlated to a plurality of speech patterns;
training a speech pattern machine learning model, as a function of the speech pattern machine learning algorithm; and
determining the at least a speech pattern as a function of the speech pattern machine learning model and the at least a speech parameter.
6 . The system of claim 5 , wherein determining the at least a speech pattern further comprises compiling the speech pattern training data from historic information of the user.
7 . The system of claim 2 , wherein determining the at least an eye pattern comprises:
inputting eye pattern training data into an eye pattern machine learning algorithm, wherein the eye pattern training data comprises a plurality of eye parameters correlated to a plurality of eye patterns;
training an eye pattern machine learning model, as a function of the eye pattern machine learning algorithm; and
determining the at least an eye pattern as a function of the eye pattern machine learning model and the at least an eye parameter.
8 . The system of claim 7 , wherein determining the at least an eye pattern further comprises compiling the eye pattern training data from historic information of the user.
9 . The system of claim 2 , wherein the at least an eye sensor comprises an electromyography sensor configured to detect the at least an eye parameter as a function of the at least an eye phenomenon.
10 . The system of claim 1 , wherein the at least a speech sensor comprises a bone conductance transducer configured to detect the at least a speech parameter as a function of the at least a speech phenomenon.
11 . A method of determining actor status according to behavioral phenomena, the method comprising:
detecting, using at least a speech sensor, at least a speech parameter of a user as a function of at least a speech phenomenon;
receiving, using a processor in communication with the at least a speech sensor, the at least a speech parameter;
determining, using the processor, at least a speech pattern as a function of the at least a speech parameter; and
correlating, using the processor, the at least a speech pattern to a cognitive status, wherein correlating to the cognitive status comprises:
receiving cognitive status training data comprising a plurality of speech patterns correlated to a plurality of cognitive statuses;
training a cognitive status machine learning model, as a function of the cognitive status training data; and
determining the cognitive status as a function of the cognitive status machine learning model, wherein the cognitive status is measured relative to a level of cognitive performance required for a given task.
12 . The method of claim 11 , further comprising:
detecting, using at least an eye sensor, at least an eye parameter of the user as a function of at least an eye phenomenon;
receiving, using the processor in communication with the at least an eye sensor, the at least an eye parameter;
determining, using the processor, at least an eye pattern as a function of the at least an eye parameter; and
correlating, using the processor, the at least an eye pattern to the cognitive status.
13 . The method of claim 12 , wherein the cognitive status training data comprises a plurality of eye patterns correlated to the plurality of cognitive statuses.
14 . The method of claim 11 , wherein correlating the at least a speech pattern to a cognitive status further comprises compiling the cognitive status training data from historic information of the user.
15 . The method of claim 11 , wherein determining the at least a speech pattern comprises:
inputting the speech pattern training data into a speech pattern machine learning algorithm, wherein the speech pattern training data comprises a plurality of speech parameters correlated to a plurality of speech patterns;
training a speech pattern machine learning model, as a function of the speech pattern machine learning algorithm; and
determining the at least a speech pattern as a function of the speech pattern machine learning model and the at least a speech parameter.
16 . The method of claim 15 , wherein determining the at least a speech pattern further comprises compiling the speech pattern training data from historic information of the user.
17 . The method of claim 12 , wherein determining the at least an eye pattern comprises:
inputting eye pattern training data into an eye pattern machine learning algorithm, wherein the eye pattern training data comprises a plurality of eye parameters correlated to a plurality of eye patterns;
training an eye pattern machine learning model, as a function of the eye pattern machine learning algorithm; and
determining the at least an eye pattern as a function of the eye pattern machine learning model and the at least an eye parameter.
18 . The method of claim 17 , wherein determining the at least an eye pattern further comprises compiling the eye pattern training data from historic information of the user.
19 . The method of claim 12 , wherein the at least an eye sensor comprises an electromyography sensor configured to detect the at least an eye parameter as a function of the at least an eye phenomenon.
20 . The method of claim 11 , wherein the at least a speech sensor comprises a bone conductance transducer configured to detect the at least a speech parameter as a function of the at least a speech phenomenon.