System and method for closed-loop active sensing and protection against airborne pathogens

US12329216B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-12329216-B2
Application numberUS-202117369283-A
CountryUS
Kind codeB2
Filing dateJul 7, 2021
Priority dateJul 9, 2020
Publication dateJun 17, 2025
Grant dateJun 17, 2025

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

A mask apparatus that is configured to prevent airborne pathogens from reaching an individual by actively mitigating airborne droplets that have a pathogen. In one example, the mask apparatus comprises a sensor device, a mitigator device, and a controller. The sensor device comprises an aerosol detector that is configured to perform a light measurement of an airborne aerosol droplet in an area proximate to the wearable apparatus. The mitigator device is configured to initiate a mitigation action directed at the airborne aerosol droplet. The controller is data communication with the sensor device and the mitigator device. The controller is configured to determine that the airborne aerosol droplet has a pathogen based at least in part on the light measurement captured by the sensor device and cause the mitigator device to initiate the mitigation action based on the airborne aerosol droplet having the pathogen.

First claim

Opening claim text (preview).

The invention claimed is: 1. A wearable apparatus for an individual, comprising: a sensor device that comprises an aerosol detector, a first auxiliary sensor, and a second auxiliary sensor, the aerosol detector being configured to perform a light measurement of an airborne aerosol droplet in an area proximate to the wearable apparatus, the first auxiliary sensor and the second auxiliary sensor measure different sensory elements; a mitigator device that is configured to initiate a mitigation action directed at the airborne aerosol droplet; a controller that is in data communication with the sensor device and the mitigator device, wherein the controller is configured to at least: determine that the airborne aerosol droplet has a pathogen based at least in part on the light measurement captured by the sensor device at a first time period; cause the mitigator device to initiate the mitigation action based at least in part on the determination of the airborne aerosol droplet having the pathogen; determine a first rate of change for a first sensor measurement of the first auxiliary sensor and a second rate of change for a second sensor measurement of the second auxiliary sensor at a second time period; and cause the mitigator device to terminate the mitigation action based at least in part on the first rate of change and the second rate of change satisfying a constant value of a function, wherein the function is associated with reducing a dampening oscillation a rate of change of a sensor measurement from the sensor device at a second time period that is after the first time period. 2. The apparatus of claim 1 , wherein the aerosol detector comprises a laser-inducted fluorescence detector (LIDAR). 3. The apparatus of claim 1 , wherein the first rate of change of the first sensor measurement is a temperature rate of change of a temperature measurement received from the first auxiliary sensor of the sensor device, wherein the temperature measurement is associated with the airborne aerosol droplet. 4. The apparatus of claim 1 , wherein the second rate of change of the second sensor measurement is a humidity rate of change of a humidity measurement received from the second auxiliary sensor of the sensor device, wherein the humidity measurement is associated with the airborne aerosol droplet. 5. The apparatus of claim 1 , wherein determining that the airborne aerosol droplet has the pathogen is further based at least in part on a machine learning classification model, wherein the machine learning classification model is provided input from at least one sensor of the sensor device. 6. The apparatus of claim 5 , wherein the input provided to the machine learning classification model comprises at least one of an aerosol droplet size, a temperature of the airborne aerosol droplet, and a concentration of the airborne aerosol droplet. 7. The apparatus of claim 1 , wherein the mitigation action comprises at least one of: releasing a compressed gas directed at the airborne aerosol droplet, spraying cold water mist, spraying a disinfectant solution directed at the airborne aerosol droplet, or emitting an ultraviolet light directed at the airborne aerosol droplet. 8. The apparatus of claim 7 , further comprising a spray nozzle, and wherein releasing the compressed gas directed at the airborne aerosol droplet further comprises releasing a disinfectant or cold-water mist, directed at the airborne aerosol droplet and/or to control an air flow pattern around the wearable apparatus. 9. The apparatus of claim 8 , wherein the compressed gas is directed at the airborne aerosol droplet based at least in part on measuring at least one of a location of the airborne aerosol droplet, a spatial span, and a quantity of the airborne aerosol droplets. 10. A method comprising: receiving, via a controller, a light measurement of an airborne aerosol droplet from an aerosol detector; determining, via the controller, that the airborne aerosol droplet has a pathogen based at least in part on the light measurement at a first time period; causing, via the controller, a mitigation device to initiate a mitigation action directed at the airborne aerosol droplet based at least in part on the determination of the airborne aerosol droplet having the pathogen; determining, via the controller, a first rate of change for a first sensor measurement of a first auxiliary sensor and a second rate of change for a second sensor measurement of a second auxiliary sensor at a second time period; and cause the mitigator device to terminate the mitigation action based least in part on the first rate of change and the second rate of change satisfying a constant value of a function. 11. The method of claim 10 , wherein the aerosol detector comprises a laser-inducted fluorescence detector (LIDAR). 12. The method of claim 10 , further comprising: determining, via the controller, that a quantity of the pathogen exceeds a quantity threshold based at least in part on a quantity measurement of the pathogen in the airborne aerosol droplet. 13. The method of claim 10 , wherein determining that the airborne aerosol droplet has the pathogen is further based at least in part on a temperature measurement received from the first auxiliary sensor, wherein the temperature measurement is associated with the airborne aerosol droplet. 14. The method of claim 10 , wherein determining that the airborne aerosol droplet has the pathogen is further based at least in part on a humidity measurement received from the second auxiliary sensor, wherein the humidity measurement is associated with the airborne aerosol droplet. 15. The method of claim 10 , wherein determining that the airborne aerosol droplet has the pathogen is further based at least in part on a machine learning classification model, wherein the machine learning classification model is provided input from the aerosol detector. 16. A mask system, comprising: a mask configured to be worn over a face of an individual; a sensor device that comprises an aerosol detector, a first auxiliary sensor, and a second auxiliary sensor, the aerosol detector being that is configured to perform a measurement of an airborne aerosol droplet in an area proximate to the mask; a mitigator device that is configured to initiate a mitigation action directed at the airborne aerosol droplet; a controller that is in data communication with the sensor device and the mitigator device, wherein the controller is configured to at least: determine that the airborne aerosol droplet has a pathogen based at least in part on the measurement captured by the sensor device at a first time period; cause the mitigator device to initiate the mitigation action based at least in part on the determination of the airborne aerosol droplet having the pathogen; determine a first rate of change for the first auxiliary sensor and a second rate of change for the second auxiliary sensor at a second time period; and cause the mitigator device to terminate the mitigation action based least in part on the first rate of change and the second rate of change satisfying a constant value of a function. 17. The mask system of 16 , wherein the aerosol detector comprises at least one of a laser-induced fluorescence detector, or an asymmetric microsphere resonant detector. 18. The mask system of 16 , wherein the mask comprises a first compartment that comprises the sensor device, and a second compartment that comprises a liquid reserve of a disinfectant solution. 19. The mask system of 18 , further comprising: a

Assignees

Inventors

Classifications

  • Room floors or walls · CPC title

  • Diagnosis combined with treatment in closed-loop systems or methods (A61B5/0036 takes precedence) · CPC title

  • Special features of optical sensors or probes classified in A61B5/00 · CPC title

  • Humidity sensors · CPC title

  • Thermal or temperature sensors · CPC title

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Frequently asked questions

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What does patent US12329216B2 cover?
A mask apparatus that is configured to prevent airborne pathogens from reaching an individual by actively mitigating airborne droplets that have a pathogen. In one example, the mask apparatus comprises a sensor device, a mitigator device, and a controller. The sensor device comprises an aerosol detector that is configured to perform a light measurement of an airborne aerosol droplet in an area …
Who is the assignee on this patent?
Univ Florida
What technology area does this patent fall under?
Primary CPC classification A41D13/1192. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Tue Jun 17 2025 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 2 related publications on this page (citations in our corpus or others sharing the same primary CPC).