Abstract: Aspects relate to systems and methods for determining actor status according to behavioral phenomena. An exemplary system includes at least an eye sensor, wherein the at least an eye sensor is configured to detect an eye parameter and at least a physiological sensor, wherein the at least a physiological sensor is configured to detect a circulatory parameter, and a processor in communication with the at least an eye speech sensor and the at least a physiological sensor and configured to determine an eye pattern as a function of the eye parameter and correlate the eye pattern and the circulatory parameter to a cognitive status.

Abstract: Aspects relate to methods and systems for detecting imminent loss of consciousness. An exemplary system includes at least a respiratory sensor configured to detect a respiration parameter associated with a user, at least a circulatory sensor configured to detect a circulation parameter associated with the user, at least a processor configured to receive the at least a respiration parameter and the at least a circulation parameter, detect a condition associated with the user as a function of the at least a respiration parameter and the at least a circulation parameter, and identify an imminent loss of consciousness event associated with the user as a function of the at least a respiration parameter and the at least a circulation parameter, and at least a user interface configured to alert the user as a function of the imminent loss of consciousness event.

Abstract: Aspects relate to system and methods for determining a user specific mission operational performance, using machine-learning processes.

Abstract: Aspects relate to systems and methods for dynamic active noise reduction including at least a sensor configured to sense a physiological characteristic of a user and transmit a physiological signal correlated to the sensed physiological characteristic, at least an environmental microphone configured to transduce an environmental noise to an environmental noise signal, a processor configured to receive the environmental noise signal, generate a noise-reducing sound signal as a function of the environmental noise signal, and, modify the noise-reducing sound signal as a function of the physiological signal, and a speaker configured to transduce a noise-reducing sound from the modified noise-reducing sound signal.

Abstract: Aspects relate to apparatuses and methods for individualized polygraph testing. The apparatus including at least an interface configured to communicate questions to the user, at least a sensor configured to detect biofeedback signals as a function of a biofeedback of a user, wherein the biofeedback is associated with at least an answer to at least a question, and at least a computing device including at least a processor and a memory communicatively connected to the at least a processor, the memory containing instructions configuring the at least a processor to receive the biofeedback signals, generate a user state classifier, train the user state classifier as a function of a user state training set, wherein the user state training set includes biofeedback signals correlated to answers of known veracity, and classifying a biofeedback signal of the biofeedback signals to a user state as a function of the user state classifier.

Abstract: A system for detecting unsafe equipment operation conditions using physiological sensors includes a plurality of wearable physiological sensors, each physiological sensor of the plurality of wearable physiological sensors configured to detect at least a physiological parameter of an operator of an item of equipment, and a processor in communication with the at least a physiological sensor and designed and configured to determine an equipment operation parametric model, wherein the equipment operation parametric rule relates physiological parameter sets to equipment operation requirements, detect using the equipment operation parametric model and the plurality of physiological parameters, a violation of an equipment operation requirement, and generate a violation response action in response to detecting the violation.

Abstract: Aspects relate to systems and methods for individualized content media delivery. An exemplary system includes a sensor configured to detect a biofeedback signal as a function of a biofeedback of a user, a display configured to present content to the user, and a computing device configured to control an environmental parameter for an environment surrounding the user as a function of the biofeedback signal, wherein controlling the environmental parameter additionally includes generating an environmental machine-learning model as a function of an environmental machine-learning algorithm, training the environmental machine-learning model as a function of an environmental training set, wherein the environmental training set comprises biofeedback inputs correlated to environmental parameter outputs and generating the environmental parameter as a function of the biofeedback signal and the environmental machine-learning model.

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.

Abstract: Aspects relate to systems and methods for dynamic active noise reduction including at least a sensor configured to sense a physiological characteristic of a user and transmit a physiological signal correlated to the sensed physiological characteristic, at least an environmental microphone configured to transduce an environmental noise to an environmental noise signal, a processor configured to receive the environmental noise signal, generate a noise-reducing sound signal as a function of the environmental noise signal, and, modify the noise-reducing sound signal as a function of the physiological signal, and a speaker configured to transduce a noise-reducing sound from the modified noise-reducing sound signal.

Abstract: Aspects relate to systems and methods for individualized content media delivery. An exemplary system includes a sensor configured to detect a biofeedback signal as a function of a biofeedback of a user, a display configured to present content to the user, and a computing device configured to control an environmental parameter for an environment surrounding the user as a function of the biofeedback signal, wherein controlling the environmental parameter additionally includes generating an environmental machine-learning model as a function of an environmental machine-learning algorithm, training the environmental machine-learning model as a function of an environmental training set, wherein the environmental training set comprises biofeedback inputs correlated to environmental parameter outputs and generating the environmental parameter as a function of the biofeedback signal and the environmental machine-learning model.

Abstract: Aspects relate to systems and methods for individualized content media delivery. An exemplary system includes a sensor configured to detect a biofeedback signal as a function of a biofeedback of a user, a display configured to present content to the user, and a computing device configured to control an environmental parameter for an environment surrounding the user as a function of the biofeedback signal, wherein controlling the environmental parameter additionally includes generating an environmental machine-learning model as a function of an environmental machine-learning algorithm, training the environmental machine-learning model as a function of an environmental training set, wherein the environmental training set comprises biofeedback inputs correlated to environmental parameter outputs and generating the environmental parameter as a function of the biofeedback signal and the environmental machine-learning model.

Abstract: Aspects relate to systems and methods for dynamic active noise reduction including at least a sensor configured to sense a physiological characteristic of a user and transmit a physiological signal correlated to the sensed physiological characteristic, at least an environmental microphone configured to transduce an environmental noise to an environmental noise signal, a processor configured to receive the environmental noise signal, generate a noise-reducing sound signal as a function of the environmental noise signal, and, modify the noise-reducing sound signal as a function of the physiological signal, and a speaker configured to transduce a noise-reducing sound from the modified noise-reducing sound signal.

Abstract: Aspects relate to system and methods for determining a user specific mission operational performance, using machine-learning processes.

Abstract: Aspects relate to systems and methods for inspirate sensing to determine a probability of an emergent physiological state. An exemplary system an inhalation sensor module configured to sense and transmit a plurality of inhalation parameters as a function of at least an inspirate, an environmental sensor module configured to sense and transmit a plurality of environmental parameters as a function of an environment, and a processor configured to generate a probability of an emergent physiological state by: inputting at least an environmental parameter and at least an inhalation parameter to a probabilistic machine learning model and generating the probability of an emergent physiological state as a function of the machine learning model.

Abstract: Aspects relate to respiration system and a method of use. An exemplary system includes a face mask configured to substantially seal a chamber about a nose and mouth of a user, an exhalation system in fluidic communication with the face mask and configured to permit flow of expirate from the user, wherein the exhalation system additionally includes a valve selectively permitting fluidic communication with the chamber as a function of chamber pressure and an actuator operatively connected to the valve, a respiration sensor configured to detect a respiration parameter associated with a respiration phenomenon, and a computing device in communication with the actuator and the respiration sensor, wherein the computing device is configured to receive the respiration parameter and control the actuator.

Abstract: A combined exhaled air and environmental gas sensor apparatus for mobile respiratory equipment includes a housing, wherein the housing includes a port aperture, a connector configured to attach the port aperture to a respiratory exhaust port, and at least an ambient aperture connecting to an exterior environment, a sensor positioned within the housing, the sensor configured to detect a carbon dioxide level and generate sensor outputs indicating detected carbon dioxide level, a processor communicatively connected to the sensor, the processor including a memory, a breath analysis mode and an environmental analysis mode, wherein the processor is configured to receive a plurality of sensor outputs from the sensor, match the plurality of sensor outputs to mode parameter profile, and switch between the breath analysis mode and the environmental analysis mode as a function of the mode parameter profile.

Abstract: A combined exhaled air and environmental gas sensor apparatus for mobile respiratory equipment includes a housing, wherein the housing includes a port aperture, a connector configured to attach the port aperture to a respiratory exhaust port, and at least an ambient aperture connecting to an exterior environment, a sensor positioned within the housing, the sensor configured to detect a carbon dioxide level and generate sensor outputs indicating detected carbon dioxide level, a processor communicatively connected to the sensor, the processor including a memory, a breath analysis mode and an environmental analysis mode, wherein the processor is configured to receive a plurality of sensor outputs from the sensor, match the plurality of sensor outputs to mode parameter profile, and switch between the breath analysis mode and the environmental analysis mode as a function of the mode parameter profile.

Abstract: A device for detecting physiological parameters is used to detect a degree of user hypoxemia in response to flight conditions; degree of hypoxemia may be used automatically to modify actions by a training device such as a reduced oxygen breathing device or centrifuge and generate feedback or modifications to training profiles for future use. Machine learning processes may be combined with sensor activity to discover relationships between maneuvers, environmental conditions, physiological parameters, and degrees of impairment to develop optimal flight or training plans.

Abstract: A system for measuring physiological parameters includes a housing mounted to an exterior body surface of a user. The system includes at least a sensor attached to the housing and contacting the exterior body surface at a locus on a head of the user, the at least a sensor configured to detect at least a physiological parameter and transmit an electrical signal as a result of the detection. The system includes an alert circuit communicatively coupled to the at least sensor, the alert circuit configured to receive at least a signal from the at least a sensor, generate an alarm as a function of the at least a signal, and to transmit the alarm to a user-signaling device communicatively coupled to the alert circuit.

Abstract: A system for detecting unsafe equipment operation conditions using physiological sensors includes a plurality of wearable physiological sensors, each physiological sensor of the plurality of wearable physiological sensors configured to detect at least a physiological parameter of an operator of an item of equipment, and a processor in communication with the at least a physiological sensor and designed and configured to determine an equipment operation parametric model, wherein the equipment operation parametric rule relates physiological parameter sets to equipment operation requirements, detect using the equipment operation parametric model and the plurality of physiological parameters, a violation of an equipment operation requirement, and generate a violation response action in response to detecting the violation.