Human performance oxygen sensor

Inventors

Everman, Bradford RBradke, Brian Scott

Assignees

Spotlight Labs

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Publication Number

US-12064247-B2

Patent

Publication Date

2024-08-20

Expiration Date


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.

Core Innovation

The invention provides a system for detecting unsafe equipment operation conditions using a plurality of wearable physiological sensors configured to detect at least a physiological parameter of an operator. A processor in communication with the wearable physiological sensors relates the at least a physiological parameter to an equipment operation requirement, thereby establishing a relation between physiological state and operational requirements. The processor then detects a violation of the equipment operation requirement as a function of the relation.

Upon detecting the violation, the processor generates a violation response action. The violation response action comprises generating a pilot-specific flight guideline in response to the violation, tying the response directly to the individual operator profile.

In further described implementations, the sensor suite can include neural oscillations detection and volatile organic compound sensing, and the relation can be performed using a machine-learning model including a user-specific machine-learning model. The processor can also use environmental sensing via an environmental sensor to detect an environmental parameter and relate that parameter to the equipment operation requirement.

Claims Coverage

The partial content includes two independent claims. Each independent claim is centered on detecting operator physiological parameters with wearable physiological sensors, relating those parameters to an equipment operation requirement, detecting violation as a function of the relation, and generating a violation response action that includes generating a pilot-specific flight guideline.

Detecting physiological parameter using wearable physiological sensors

detecting, by processor in communication with a plurality of wearable physiological sensors, at least a physiological parameter of an operator of an item of equipment;

Relating physiological parameter to equipment operation requirement

relate the at least a physiological parameter to an equipment operation requirement.

Detecting violation as a function of the relation

detect a violation of an equipment operation requirement as a function of the relation.

Generating pilot-specific flight guideline as violation response

generate a violation response action in response to detecting the violation, wherein generating the violation response comprises generating a pilot-specific flight guideline.

Across both independent claims, the core claim coverage focuses on wearable physiological sensors, relation of physiological parameters to equipment operation requirements, violation detection based on that relation, and generation of a pilot-specific flight guideline as part of the violation response.

Stated Advantages

Documented Applications

Not explicitly described in patent.

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