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dc.contributor.authorFraile Nieto, Juan Agustín
dc.contributor.authorRodríguez González, Sara 
dc.contributor.authorDe Paz, Juan F. 
dc.contributor.authorPérez Lancho, María Belén 
dc.date.accessioned2017-09-06T09:14:48Z
dc.date.available2017-09-06T09:14:48Z
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. 77-84.
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/10366/134914
dc.description.abstractThis paper presents a multiagent system that facilitates the performance of daily tasks for Chronic Obstructive Pulmonary Disease (COPD) patient within a context-aware environment. The paper analyzes the relevant aspects of context-aware computing and presents a prototype that can be applied to monitor COPD patient at their homes. The system includes computational elements that are integrated within a domestic environment with the goal of capturing context-related information and managing the events carried out by the patient. The services are support by the processing and reasoning out of the data received by the agents in order to offer proactive solutions to the user. The results obtained with this prototype are presented in this paper.
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.titleApplying HoCCAC to Plan Task the COPD Patient: A Case Study
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess


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Attribution-NonCommercial-NoDerivs 3.0 Unported
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