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Bluetooth low energy based occupancy detection for emergency management

Bluetooth low energy based occupancy detection for emergency management

Filippoupolitis, Avgoustinos, Oliff, William and Loukas, George (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:10.1109/IUCC-CSS.2016.013)

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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 / Department / Research Group: Faculty of Architecture, Computing & Humanities
Faculty of Architecture, Computing & Humanities > Department of Computing & Information Systems
Related URLs:
Last Modified: 31 Aug 2017 13:44
Selected for GREAT 2016: None
Selected for GREAT 2017: GREAT a
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/16027

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