Document - Remote detection of indoor human proximity using bluetooth low energy beacons

2019

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Remote detection of indoor human proximity using bluetooth low energy beacons

Mavilia F, Palumbo F, Barsocchi P, Chessa S, Girolami M

Proximity Social Interactions Bluetooth Low Energy

The way people interact in daily life is a challenging phenomenon to capture and to study without altering the natural rhythm of interactions. Our work investigates the possibility of automatically detecting proximity among people, the first mandatory condition before a dyad starts interacting. We present Remote Detection of Human Proximity (ReD-HuP), an algorithm based on the analysis of Bluetooth Low Energy beacons emitted by commercial wearable tags. We validate ReD-HuP with real-world indoor settings and we compare its performance with respect to detailed ground truth data collected from a number of volunteers. Experimental results show an accuracy and F-Score metric up to 95%.

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@inproceedings{oai:it.cnr:prodotti:415560,
	title = {Remote detection of indoor human proximity using bluetooth low energy beacons},
	author = {Mavilia F and Palumbo F and Barsocchi P and Chessa S and Girolami M},
	doi = {10.1109/ie.2019.000-1},
	year = {2019}
}