Our Vision
BluBLE is an initiative by researchers at WCSNG Lab UCSD, to help communities in the COVID-19 pandemic crisis. We have been leading the research efforts in harnessing wireless signals to sense the environment and localize human beings in it. Localizing human beings in the environment allows BluBLE to smartly classify which locations are safe, by characterizing the levels of human occupancy in a given area. Very soon, BluBLE would be up and working to help us find safe spaces around us and help us achieve herd immunity!
In a nutshell, BluBLE aims to protect you in a protective bubble throughout your day and provides you with personalized risk scores based on how much crowded are the locations you visit, and also help you know which spaces are safe for you to visit. With BluBLE, we hope to bring you peace of mind the next time you're planning a get-together with your friends or just going out for a run.
If you would like to contribute to our efforts, consider aiding us in our data collection and bringing your talents to our team!
Collect Data Join UsMany governments and researchers around the world have been tackling the complicated problem of contact tracing in an effort to curb the spread of COVID-19. TraceTogether and Aarogya Setu have deployed their applications across Singapore and India respectively. These apps have broadly been adopted but have raised many questions about privacy, universal applicability, as well as the accuracy of bluetooth based proximity sensing.
We are currently developing a robust and environment-agnostic algorithm to quantify the effectiveness of social distancing. Our aim is to automate the tedious process of contact tracing to help combat COVID-19, which involves tracking the activities of a diagnosed patient and generating a network of interaction of this patient with others. But here, we do things a bit differently --
The most crucial aspect of our approach is to collect crowdsourced data to better understand the behaviour of Bluetooth signals and develop robust and trustworthy algorithms. To this effect, we would really appreciate it if you could perform a few short experiments from the comfort of your home and take part in the fight against COVID-19.