Indoor-Localization

Indoor localization done for the course Smart Phone Sensing for my Msc at TU Delft. We made 3 core features, a K-NN based activity recognition, and 2 indoor localization techniques, one using a Bayesian Filter and using a Particle Filter. It was a very fun project.