A Bluetooth Dataset for Proximity Detection in Indoor Environments Collected with Smartphones

Published: 29 December 2022| Version 1 | DOI: 10.17632/sbhch9pxwh.1
Michele Girolami,


The dataset contains 32 folders, named R<i>, <i> corresponds to the test number (R1 to R32). Each folder contains 2 files: - <timestamp>-beacons.csv: the file with the raw data - timestamp: Unix timestamps in millis - name: name of the artwork - address: MAC address of the artwork's tag - major: ID of the artwork -rssi: RSSI value expressed in dBm estimated by the receiving device -<timestamp>-groundtruth.csv: the with the ground truth - timestamp: Unix timestamps in millis - event: the type of event associated with the entry. IN: visit check-in, OUT: visit check-out - artwork: ID of the artwork



Istituto di Scienza e Tecnologie dell'Informazione Alessandro Faedo Consiglio Nazionale delle Ricerche


Computer Science Applications, Mobile Computing, Wireless Sensor Network, Pervasive Computing


Regione Toscana

Recupero di Sistemi Informativi STOrico-artistici per una rinnovata comunicazione del patrimonio, POR FSE 2014-2020