A low-cost BLE-based Distance Estimation, Occupancy Detection and Counting System
Florenc Demrozia, Fabio Chiaranib and Graziano Pravadellic
Department of Computer Science, University of Verona, 37134 Verona, Italy
surname@univr.itt
ABSTRACT
This article presents a low-cost system for distance estimation, occupancy counting, and presence detection based on Bluetooth Low Energy radio signal variation patterns that mitigates the limitation of existing approaches related to economic cost, privacy concerns, computational requirements, and lack of ubiquitousness. To explore the approach effectiveness,exhaustive tests have been carried out on four different datasets by exploiting several pattern recognition models.
Keywords: Bluetooth Low Energy (BLE), Distance Estimation, Occupancy Detection, Occupancy Counting.
