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dc.contributor.authorPhung, Dinh
dc.contributor.authorAdams, Brett
dc.contributor.authorTran, Kha
dc.contributor.authorVenkatesh, Svetha
dc.contributor.authorKumar, Mohan
dc.contributor.editorUnknown
dc.date.accessioned2017-01-30T13:30:06Z
dc.date.available2017-01-30T13:30:06Z
dc.date.created2010-03-09T20:02:47Z
dc.date.issued2009
dc.identifier.citationPhung, Dinh and Adams, Brett and Tran, Kha and Venkatesh, Svetha and Kumar, Mohan. 2009. High accuracy context recovery using clustering mechanisms, in Unknown (ed), PERCOM 2009, Mar 9 2009, pp. 1-9.Galveston, TX, USA: IEEE Computer Society.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/32269
dc.description.abstract

This paper examines the recovery of user context in indoor environmnents with existing wireless infrastructures to enable assistive systems. We present a novel approach to the extraction of user context, casting the problem of context recovery as an unsupervised, clustering problem. A well known density-based clustering technique, DBSCAN, is adapted to recover user context that includes user motion state, and significant places the user visits from WiFi observations consisting of access point id and signal strength. Furthermore, user rhythms or sequences of places the user visits periodically are derived from the above low level contexts by employing a state-of-the-art probabilistic clustering technique, the Latent Dirichlet Allocation (LDA), to enable a variety of application services. Experimental results with real data are presented to validate the proposed unsupervised learning approach and demonstrate its applicability.

dc.publisherIEEE Computer Society
dc.relation.urihttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4912760
dc.titleHigh accuracy context recovery using clustering mechanisms
dc.typeConference Paper
dcterms.source.startPage1
dcterms.source.endPage9
dcterms.source.titleProceeding of the 2009 IEEE international conference on Pervasive computing and communications
dcterms.source.seriesProceeding of the 2009 IEEE international conference on Pervasive computing and communications
dcterms.source.isbn9781424433049
dcterms.source.conferencePERCOM 2009
dcterms.source.conference-start-dateMar 9 2009
dcterms.source.conferencelocationGalveston, TX, USA
dcterms.source.placeWashington,DC,USA
curtin.note

Copyright © 2009 IEEE This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

curtin.accessStatusOpen access
curtin.facultySchool of Science and Computing
curtin.facultyDepartment of Computing
curtin.facultyFaculty of Science and Engineering


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