Received signal strength indication—based COVID-19 mobile application to comply with social distancing using bluetooth signals from smartphones

Today, innovative solutions are being developed in the fight against COVID19 not only to help patients recover from this disease but also to prevent everyday practices that would spread this disease. The present work shows the use of the received signal strength indication signal generated by Bluetooth of the mobile device, in tasks of verification of social distancing, which is one of the most effective actions to prevent the spread of the coronavirus. The values obtained are evaluated by a model based on machine learning that determines whether the person carrying the cell phone is in a safe distance on the street. In this way, the use of the cell phone allows a real-time isolation that minimizes the possibility of contracting the coronavirus.