A Framework to Recognise Daily Life Activities with Wireless Proximity and Object Usage Data

Book chapter

Azam, M.A., Loo, J., Naeem, U., Khan, S.K.A., Lasebae, A. and Gemikonakli, O. 2012. A Framework to Recognise Daily Life Activities with Wireless Proximity and Object Usage Data. in: Proceedings of 23rd IEEE International Symposium on Personal, Indoor and Mobile Radio Communication 2012 IEEE. pp. 590-595
AuthorsAzam, M.A., Loo, J., Naeem, U., Khan, S.K.A., Lasebae, A. and Gemikonakli, O.
Abstract

The profusion of wireless enabled mobile devices in daily life routine and advancement in pervasive computing has opened new horizons to analyse and model the contextual information. This contextual information (for example, proximity data and location information) can be very helpful in analysing the human behaviours. Wireless proximity data can provide important information about the behaviour and daily life routines of an individual. In this paper, we used Bluetooth proximity data to validate this concept by detecting repeated activity patterns and behaviour of low entropy mobile people by using n-gram and correlative matrix techniques. Primary purpose is to find out whether contextual information obtained from Bluetooth proximity data is useful for activities and behaviour detection of individuals. Repeated patterns found in Bluetooth proximity data can also show the long term routines such as, monthly or yearly patterns in an individual's daily life that can further help to analyse more complex and abnormal routines of human behaviour.

Keywordsdaily life activities; tiered approach; low entropy
Book titleProceedings of 23rd IEEE International Symposium on Personal, Indoor and Mobile Radio Communication 2012
Page range590-595
Year2012
PublisherIEEE
Publication dates
Print28 Nov 2012
Publication process dates
Deposited04 Dec 2012
Event23rd IEEE International Symposium on Personal, Indoor and Mobile Radio Communication 2012
ISBN978-1-4673-0907-3
Web address (URL)http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6197584&tag=1
Additional information

© 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works

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