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dc.contributor.authorGarcía, Oscar
dc.contributor.authorAlonso Rincón, Ricardo Serafín 
dc.contributor.authorGuevara, Fabio
dc.contributor.authorSancho, David
dc.contributor.authorSánchez, Miguel
dc.contributor.authorBajo Pérez, Javier
dc.date.accessioned2017-09-06T09:14:39Z
dc.date.available2017-09-06T09:14:39Z
dc.date.issued2011
dc.identifier.citationAmbient Intelligence - Software and Applications Advances in Intelligent and Soft Computing. Advances in Intelligent and Soft Computing. Volumen 92, pp. 173-180.
dc.identifier.isbn978-3-642-19936-3 (Print) / 978-3-642-19937-0 (Online)
dc.identifier.issn1867-5662 (Print) / 1867-5670 (Online)
dc.identifier.urihttp://hdl.handle.net/10366/134900
dc.description.abstractMuseum guides present a great opportunity where the Ambient Intelligence (AmI) paradigm can be successfully applied. Together with pervasive computing, context and location awareness are the AmI features that allow users to receive customized information in a transparent way. In this sense, Real-Time Locating Systems (RTLS) can improve context-awareness in AmI-based systems. This paper presents ARTIZT, an innovative AmI-based museum guide system where a novel RTLS based on the ZigBee protocol provides highly precise users’ position information. Thus, it can be customized the content offered to the users without their explicit interaction, as well as the granularity level provided by the system.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherSpringer Science + Business Media
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subjectComputer Science
dc.titleARTIZT: Applying Ambient Intelligence to a Museum Guide Scenario
dc.typeinfo:eu-repo/semantics/article
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess


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Attribution-NonCommercial-NoDerivs 3.0 Unported
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Unported