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1. US20210379425 - PERSONAL PROTECTION AND MONITORING

Office
United States of America
Application Number 16894040
Application Date 05.06.2020
Publication Number 20210379425
Publication Date 09.12.2021
Publication Kind A1
IPC
A62B 23/06
AHUMAN NECESSITIES
62LIFE-SAVING; FIRE-FIGHTING
BDEVICES, APPARATUS OR METHODS FOR LIFE-SAVING
23Filters for breathing-protection purposes
06Nose filters
CPC
A62B 9/006
AHUMAN NECESSITIES
62LIFE-SAVING; FIRE-FIGHTING
BDEVICES, APPARATUS OR METHODS FOR LIFE-SAVING
9Component parts for respiratory or breathing apparatus
006Indicators or warning devices, e.g. of low pressure, contamination
A62B 23/06
AHUMAN NECESSITIES
62LIFE-SAVING; FIRE-FIGHTING
BDEVICES, APPARATUS OR METHODS FOR LIFE-SAVING
23Filters for breathing-protection purposes
06Nose filters
Applicants Bich Q. Tran
Inventors Bich Q. Tran
Title
(EN) PERSONAL PROTECTION AND MONITORING
Abstract
(EN)

A personal protection device includes one or two elongate members for engaging into the nostrils of the nose of a user. The elongate members each includes gridded ports for allowing air to pass through the elongate member when breathing in and for allowing air to exit via the elongate member when breathing out. Sensors are placed in the air flow pathway to detect pathogen presence, and the primary air filter is positioned in the elongate member. In yet other embodiments, a disposable version is disclosed. The eyewear can also be used as part of an extended reality system, and when game playing, particularized scents can be rendered to the nose to enhance the gaming experience. In another aspect, systems and methods protect against pathogen by sampling an environment of a travel path with a plurality of pathogen detectors along the travel path to detect a presence of one or more pathogens, wherein at least one detector includes a nano-sensor with receptacles to bind to the pathogens and wherein the nano-sensor changes resistivity, inductance or capacitance upon pathogen binding; directing air towards said pathogen detectors; contact tracing a user mobile device having a mobile identification (ID) carried by each user, wherein the mobile device comprises a memory storing mobile IDs of all devices within a predetermined radius of the user mobile device; and performing deep learning with a neural network receiving data from the pathogen detectors and to the user mobile device to detect a presence of one or more pathogens.