2023
Conference article  Open Access

On the analysis of body orientation for indoor positioning with BLE 5.1 direction finding

Mavilia F., Barsocchi P., Furfari F., La Rosa D., Girolami M.

Bluetooth 5.1  Angle of Arrival  Indoor Localization  Proximity  Human Posture 

The last decade showed a clear technological trend toward the adoption of heterogeneous source of information, combined with data-fusion strategies to increase the performance of indoor localization systems. In this respect, the adoption of short-range network protocols such as WiFi and Bluetooth represent a common approach. We investigate, in this work, the use of Bluetooth 5.1 Direction Finding specification to test an indoor localization system solely based on the estimated Angle of Arrival (AoA) between an anchor and a receiver. We first detail our experimental data collection campaign and the adopted hardware. Then, we study not only the accuracy of the estimated angles on two reference planes but also the localization error introduced with the proposed algorithm by varying the body orientation of the target user, namely North, South, West, Est. Experimental results in a real-world indoor environment show an average localization error of 2.08m with only 1 anchor node and 5° of AoA' error for all 28 monitored locations. We also identify regions in which the AoA estimation rapidly decreases, giving rise to the possibility of identifying the boundaries of the adopted technology.

Source: ICC 2023 - IEEE International Conference on Communications, pp. 204–209, Roma, Italy, 28/05-01/06/2023


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BibTeX entry
@inproceedings{oai:it.cnr:prodotti:488172,
	title = {On the analysis of body orientation for indoor positioning with BLE 5.1 direction finding},
	author = {Mavilia F. and Barsocchi P. and Furfari F. and La Rosa D. and Girolami M.},
	doi = {10.1109/icc45041.2023.10279029},
	booktitle = {ICC 2023 - IEEE International Conference on Communications, pp. 204–209, Roma, Italy, 28/05-01/06/2023},
	year = {2023}
}