Filippoupolitis, Avgoustinos, Oliff, William and Loukas, George ORCID: 0000-0003-3559-5182 (2017) Bluetooth low energy based occupancy detection for emergency management. In: 15th International Conference on Ubiquitous Computing and Communications and 2016 International Symposium on Cyberspace and Security (IUCC-CSS). IEEE, pp. 31-38. ISBN 978-1-5090-5567-8 ISSN 978-1-5090-5566-1 (Online) (doi:https://doi.org/10.1109/IUCC-CSS.2016.013)

Preview

PDF (Author's Accepted Manuscript) 16027_Filippoupolitis_Bluetooth low energy (conf. paper) 2016.pdf - Accepted Version Download (3MB) | Preview

Abstract

A reliable estimation of an area’s occupancy can be beneficial to a large variety of applications, and especially in relation to emergency management. For example, it can help detect areas of priority and assign emergency personnel in an efficient manner. However, occupancy detection can be a major challenge in indoor environments. A recent technology that can prove very useful in that respect is Bluetooth Low Energy (BLE), which is able to provide the location of a user using information from beacons installed in a building. Here, we evaluate BLE as the primary means of occupancy estimation in an indoor environment, using a prototype system composed of BLE beacons, a mobile application and a server. We employ three machine learning approaches (k-nearest neighbours, logistic regression and support vector machines) to determine the presence of occupants inside specific areas of an office space and we evaluate our approach in two independent experimental settings. Our experimental results indicate that combining BLE with machine learning is certainly promising as the basis for occupancy estimation.

Item Type:	Conference Proceedings
Title of Proceedings:	15th International Conference on Ubiquitous Computing and Communications and 2016 International Symposium on Cyberspace and Security (IUCC-CSS)
Additional Information:	IUCC 2016: The 15th International Conference on Ubiquitous Computing and Communications, 14-16 December 2016, Granada, Spain.
Uncontrolled Keywords:	Occupancy Detection, Bluetooth low energy, Emergency management
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS) Faculty of Engineering & Science
Related URLs:	Organisation
Last Modified:	04 Mar 2022 13:07
URI:	http://gala.gre.ac.uk/id/eprint/16027

Actions (login required)

View Item

Downloads