Cough Recognition Using Tiny ML

Abstract

The whole world has been affected by the current COVID-19 epidemic. Still, the impact of the epidemic and its consequences are felt else reckoning on our standing as individualities and as crew of society. The Omicron and IHU variant probably may circulate more fluently than the other variants and the way fluently Omicron and IHU spreads compared to other variants endure unspecified. It is expected that anyone with the virus can spread to others, even if they’re fully vaccinated or don’t feel severe symptoms like shortness of breath and Lung infection. One of the perceptible common symptoms for a covid infected characteristic person is cough. Considering this COUGH RECOGNITION USING TINY ML is created. The given product would be suitable to separate coughs from covid infected person’s cough and noise by using TinyML. Arduino Nano 33 BLE sense which has an inbuilt microphone will descry the cough of the person. Now by using TinyML the cough can be categorized into a covid infected person cough or a noise without covid background.