Systems and methods for determining actor status according to behavioral phenomena
AssigneeGmeci, LLC
InventorsBradford R. Everman, Brian Scott Bradke
Life of this patent
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Abstract
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.
Claims18
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 as a function of at least a speech phenomenon;
- at least an eye sensor configured to detect at least an eye parameter as a function of at least an eye phenomenon;
- and
- a processor in communication with the at least an eye sensor and 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;
- determine at least an eye pattern as a function of the at least an eye parameter;
- and
- correlate the at least a speech pattern and the at least an eye pattern to a cognitive status, wherein correlating to the cognitive status further comprises:
- receiving cognitive status training data comprising the at least a speech pattern, the at least an eye pattern, and historic information;
- 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.
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 as a function of at least a speech phenomenon;
- detecting, using at least and eye sensor, at least an eye parameter as a function of at least an eye 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;
- 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 a speech pattern and the at least an eye pattern to a cognitive status, wherein correlating to the cognitive status further comprises:
- receiving cognitive status training data comprising the at least a speech pattern, the at least an eye pattern, and historic information;
- 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.
Dependencies are inferred from the claim text.