Bluetooth based Face-to-Face Proximity Estimation on Smart Mobile

Abstract

The availability of “always-on” communications has tremendous implications for a way individuals move socially. Above all, sociologists have an interest within the question if such pervasive access will increase or decreases face-to-face interactions. In contrast to triangulation that seeks to exactly outline position, the question of face-to-face interaction reduces to at least one of proximity, i.e., square measure the people inside a particular distance? What is more, the matter of proximity estimation is sophisticated by the very fact that the measuring should be quite precise (1-1.5 m) and might cover a large kind of environments. Existing approaches like GPS and Wi-Fi triangulation square measure insufficient to fulfill the wants of accuracy and adaptability. In distinction, Bluetooth, that is often obtainable on most smartphones, provides a compelling different for proximity estimation. During this paper, we have a tendency to demonstrate through experimental studies the effectiveness of Bluetooth for this precise purpose.