Bluetooth dataset for proximity detection in indoor environments collected with smartphones
This paper describes a data collection experiment and the resulting dataset based on Bluetooth beacon messages collected in an indoor museum. The goal of this dataset is to study algorithms and techniques for proximity detection between people and points of interest (POI). To this purpose, we releas...
Main Authors: | Michele Girolami, Davide La Rosa, Paolo Barsocchi |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2024-04-01
|
Series: | Data in Brief |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340924001860 |
Similar Items
-
A Bluetooth 5.1 Dataset Based on Angle of Arrival and RSS for Indoor Localization
by: Michele Girolami, et al.
Published: (2023-01-01) -
Detecting Proximity with Bluetooth Low Energy Beacons for Cultural Heritage
by: Paolo Barsocchi, et al.
Published: (2021-10-01) -
Indoor Bluetooth Low Energy Dataset for Localization, Tracking, Occupancy, and Social Interaction
by: Paolo Baronti, et al.
Published: (2018-12-01) -
Sensing the Crowds Using Bluetooth Low Energy Tags
by: Anas Basalamah
Published: (2016-01-01) -
Accuracy of Bluetooth based Indoor Positioning using different Pattern Recognition Techniques
by: María Rodríguez-Damián, et al.
Published: (2019-04-01)