Towards reconstruction of human trajectories in indoor environments

International audienceIn this paper, we propose to study how to reconstruct the human trajectory in complex environments (indoor) such as museums that are often not equipped with WIFI or other monitoring techniques. We have set up a micro-localization infrastructure Bluetooth Low Energy. We propose to use a sampling method for finding position stops (point in a trajectory), because a deep learning method is not adapted to this case