Detecting Proximity with Bluetooth Low Energy Beacons for Cultural Heritage

The RE.S.I.STO project targets visitors of Pisa medieval city, with the goal of providing high-quality digital contents accessible with smart devices. We describe the design, implementation and the test phases of the RE.S.I.STO application, whose goal is to automatically detect the proximity between...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Paolo Barsocchi, Michele Girolami, Davide La Rosa
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	location-based services BLE beacons proximity detection ambient intelligence cultural heritage Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/103cccf834564e8c98237a987e52f7d2
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:103cccf834564e8c98237a987e52f7d2
record_format	dspace
spelling	oai:doaj.org-article:103cccf834564e8c98237a987e52f7d22021-11-11T19:06:17ZDetecting Proximity with Bluetooth Low Energy Beacons for Cultural Heritage10.3390/s212170891424-8220https://doaj.org/article/103cccf834564e8c98237a987e52f7d22021-10-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/21/7089https://doaj.org/toc/1424-8220The RE.S.I.STO project targets visitors of Pisa medieval city, with the goal of providing high-quality digital contents accessible with smart devices. We describe the design, implementation and the test phases of the RE.S.I.STO application, whose goal is to automatically detect the proximity between visitors and artworks. Proximity is detected with a set of algorithms based on the analysis of Bluetooth Low Energy beacons. We detail our experimental campaigns which reproduce several museum layouts of increasing complexity at two pilot sites, and we compute the performance of the implemented algorithms to detect the nearby artworks. In particular, we test our solution in a wide open space located in our research institute and by performing a real deployment at the Camposanto Monumentale located in Pisa (Italy). The obtained performance varies in the range of 40% to perfect accuracy, according to the complexity of the considered museum layouts. We also describe a set of stress and stability tests aimed at verifying the robustness of the application during the data collection process. Our results show that the mobile application is able to reduce the beacon loss rate, with an average value of 77% of collected beacons.Paolo BarsocchiMichele GirolamiDavide La RosaMDPI AGarticlelocation-based servicesBLE beaconsproximity detectionambient intelligencecultural heritageChemical technologyTP1-1185ENSensors, Vol 21, Iss 7089, p 7089 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	location-based services BLE beacons proximity detection ambient intelligence cultural heritage Chemical technology TP1-1185
spellingShingle	location-based services BLE beacons proximity detection ambient intelligence cultural heritage Chemical technology TP1-1185 Paolo Barsocchi Michele Girolami Davide La Rosa Detecting Proximity with Bluetooth Low Energy Beacons for Cultural Heritage
description	The RE.S.I.STO project targets visitors of Pisa medieval city, with the goal of providing high-quality digital contents accessible with smart devices. We describe the design, implementation and the test phases of the RE.S.I.STO application, whose goal is to automatically detect the proximity between visitors and artworks. Proximity is detected with a set of algorithms based on the analysis of Bluetooth Low Energy beacons. We detail our experimental campaigns which reproduce several museum layouts of increasing complexity at two pilot sites, and we compute the performance of the implemented algorithms to detect the nearby artworks. In particular, we test our solution in a wide open space located in our research institute and by performing a real deployment at the Camposanto Monumentale located in Pisa (Italy). The obtained performance varies in the range of 40% to perfect accuracy, according to the complexity of the considered museum layouts. We also describe a set of stress and stability tests aimed at verifying the robustness of the application during the data collection process. Our results show that the mobile application is able to reduce the beacon loss rate, with an average value of 77% of collected beacons.
format	article
author	Paolo Barsocchi Michele Girolami Davide La Rosa
author_facet	Paolo Barsocchi Michele Girolami Davide La Rosa
author_sort	Paolo Barsocchi
title	Detecting Proximity with Bluetooth Low Energy Beacons for Cultural Heritage
title_short	Detecting Proximity with Bluetooth Low Energy Beacons for Cultural Heritage
title_full	Detecting Proximity with Bluetooth Low Energy Beacons for Cultural Heritage
title_fullStr	Detecting Proximity with Bluetooth Low Energy Beacons for Cultural Heritage
title_full_unstemmed	Detecting Proximity with Bluetooth Low Energy Beacons for Cultural Heritage
title_sort	detecting proximity with bluetooth low energy beacons for cultural heritage
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/103cccf834564e8c98237a987e52f7d2
work_keys_str_mv	AT paolobarsocchi detectingproximitywithbluetoothlowenergybeaconsforculturalheritage AT michelegirolami detectingproximitywithbluetoothlowenergybeaconsforculturalheritage AT davidelarosa detectingproximitywithbluetoothlowenergybeaconsforculturalheritage
_version_	1718431568699064320

Detecting Proximity with Bluetooth Low Energy Beacons for Cultural Heritage

Ejemplares similares