Abstract

In this demo, we present a cough activated face visor, where the transparent visor screen moves to cover the wearer’s face when coughing sounds are detected. The cough detection is performed by a TinyML machine learning model, running on a microcontroller integrated to the visor’s headband. We make no claims regarding the direct impact of our prototype in preventing the spread of Covid-19, but hope it inspires discussion on future smart solutions in the area of personal protective equipment (PPE). Additionally, we note that visibility of the visor’s operation potentially encourages observers to adopt preventative measures such as hygiene practices and social distancing.