Remote detection of social interactions in indoor environments through bluetooth low energy beacons

The way people interact in daily life is a challenging phenomenon to be captured and studied without altering the natural rhythm of the interactions. We investigate the development of automated tools that may provide information to the researchers that analyse interactions among humans. One importa nt requirement of these tools is that should not interfere with the subjects under observation, in order to avoid any alteration in the subject’s...