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dc.contributor.authorAlonso Rincón, Ricardo Serafín 
dc.contributor.authorTapia Martínez, Dante I.
dc.contributor.authorGarcía Pérez, Óscar
dc.contributor.authorSancho, David
dc.contributor.authorSánchez, Miguel
dc.date.accessioned2017-09-06T09:14:34Z
dc.date.available2017-09-06T09:14:34Z
dc.date.issued2011
dc.identifier.citationTrends in Practical Applications of Agents and Multiagent Systems Advances in Intelligent and Soft Computing. Advances in Intelligent and Soft Computing. Volumen 90, pp. 1-8.
dc.identifier.isbn978-3-642-19930-1 (Print) / 978-3-642-19931-8 (Online)
dc.identifier.issn1867-5662 (Print) / 1867-5670 (Online)
dc.identifier.urihttp://hdl.handle.net/10366/134890
dc.description.abstractContext-aware technologies allow Ambient Assisted Living systems and applications to automatically obtain information from users and their environment in a distributed and ubiquitous way. One of the most important technologies used to provide context-awareness to a system is Wireless Sensor Networks. This paper describes last improvements made on ALZ-MAS, an Ambient Intelligence based multi-agent system aimed at enhancing the assistance and healthcare for Alzheimer patients. In this sense, a new ZigBee platform is used to improve ALZ-MAS. This platform provides the system with new telemonitoring and locating engines that facilitate the integration of context-awareness into it.
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.titleImproving Context-Awareness in a Healthcare Multi-Agent System
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