Eldaw, Muawya Habib Sarnoub and Levene, Mark and Roussos, George (2016) Presence analytics: discovering meaningful patterns about human presence using WLAN digital imprints. In: Boubiche, D.E. and Hadj, F.H. and Guezouli, L. and Bounceur, A. (eds.) Proceedings of the International Conference on Internet of things and Cloud Computing - ICC '16. New York, U.S.: Association for Computing Machinery. ISBN 9781450340632.
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ICC16_PresenceAnalyticsPaper.pdf - Author's Accepted Manuscript Available under License Creative Commons Attribution Non-commercial. Download (1MB) | Preview |
Abstract
In this paper we illustrates how aggregated WLAN activity traces provide anonymous information that reveals invaluable insight into human presence within a university campus. We show how technologies supporting pervasive services, such as WLAN, which have the potential to generate vast amounts of detailed information, provide an invaluable opportunity to understand the presence and movement of people within such an environment. We demonstrate how these aggregated mobile network traces offer the opportunity for human presence analytics in several dimensions: social, spatial, temporal and semantic dimensions. These analytics have real potential to support human mobility studies such as the optimisation of space use strategies. The analytics presented in this paper are based on recent WLAN traces collected at Birkbeck College of University of London, one of the participants in the Eduroam network.
Metadata
| Item Type: | Book Section |
|---|---|
| Additional Information: | © ACM, 2016. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published at the link above. |
| Keyword(s) / Subject(s): | Human Mobility, WLAN Traces, Wireless Network, Eduroam, Presence Analytics |
| School: | Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences |
| Research Centres and Institutes: | Birkbeck Knowledge Lab, Data Analytics, Birkbeck Institute for |
| Depositing User: | Muawya Eldaw |
| Date Deposited: | 25 May 2016 10:25 |
| Last Modified: | 09 Aug 2023 12:38 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/15259 |
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