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dc.contributor.authorPoland, M.P.en
dc.contributor.authorNugent, Chrisen
dc.contributor.authorWang, H.en
dc.contributor.authorChen, Limingen
dc.date.accessioned2018-03-08T12:01:33Z
dc.date.available2018-03-08T12:01:33Z
dc.date.issued2010-04-25
dc.identifier.citationPoland, M.P., Nugent, C.D., Wang, H., Chen, L. (2010) Spatial-Frequency Data Acquisition using Rotational Invariant Pattern Matching in Smart Environments. Annals of Telecommunications, 65(9-10), pp.557-570.en
dc.identifier.issn0003-4347
dc.identifier.urihttp://hdl.handle.net/2086/15398
dc.description.abstractThis article details the development and testing of an empirical data capture system with the ability to collect spatial-frequency statistics relating to the movement behaviour of a smart home inhabitant. This is achieved using a greyscale normalised cross-correlation pattern matching algorithm. Environmental obstructions on the floor space can also be inferred from a visual representation of the accumulated data. Whilst this methodology itself is not novel, its application to person tracking specifically within a smart home environment does not appear in the literature and is considered a novel approach. The results of tests performed on the pattern matching technique show a tracking competency rate of 94.45% with a standard deviation of 0.009027, indicating high fidelity across a wide variety of environmental factors.en
dc.language.isoenen
dc.publisherSpringer-Verlagen
dc.subjectHuman positioningen
dc.subjectIndoor trackingen
dc.subjectPattern matchingen
dc.subjectSmart environmentsen
dc.titleSpatial-Frequency Data Acquisition using Rotational Invariant Pattern Matching in Smart Environmentsen
dc.typeArticleen
dc.identifier.doihttps://doi.org/10.1007/s12243-010-0172-4
dc.researchgroupCIIRGen
dc.peerreviewedYesen
dc.funderN/Aen
dc.projectidN/Aen
dc.cclicenceCC-BY-NCen
dc.date.acceptance2010-07-12en
dc.researchinstituteCyber Technology Institute (CTI)en


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