Modeling user movement habits for intelligent indoor tracking

E Furey, K Curran, P McKevitt

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

Using Wi-Fi signals is an attractive and reasonably affordable option to deal with the currently unsolved problem of widespread tracking in an indoor environment. These systems however suffer due to the underlying characteristics of radio waves (i.e. multipath effects) and due to infrastructural requirements. HABITS (History Aware Based Indoor Tracking System) overcomes these by modeling the historical movement habits of people in a workplace environment and then learns from these and intelligently predicts next location using a discrete Bayesian filter. This knowledge not only improves on currently available systems in terms of accuracy, yield and latency but also can be used as an input to building automation (heating, lighting) systems as an energy saving feature.
Original languageEnglish
Title of host publicationUnknown Host Publication
Place of PublicationIntel Ireland Campus, Leixlip, Co. Kildare, Ireland
PublisherIrish Software Innovation Network
Pages160-160
Number of pages1
Publication statusPublished - Oct 2010
EventProc. of the 3rd Annual Intel European Research and Innovation Conference (ERIC-2010): Building a Smart, Sustainable and Inclusive Society through Research and Innovation partnerships - Intel Ireland Campus, Leixlip, Co. Kildare, Ireland
Duration: 1 Oct 2010 → …

Conference

ConferenceProc. of the 3rd Annual Intel European Research and Innovation Conference (ERIC-2010): Building a Smart, Sustainable and Inclusive Society through Research and Innovation partnerships
Period1/10/10 → …

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  • Cite this

    Furey, E., Curran, K., & McKevitt, P. (2010). Modeling user movement habits for intelligent indoor tracking. In Unknown Host Publication (pp. 160-160). Irish Software Innovation Network. http://newsroom.intel.com/docs/DOC-1304