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Human activity recognition based on evolving fuzzy systems

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dc.affiliation.dptoUC3M. Departamento de Informáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Laboratorio de Control, Aprendizaje y Optimización de Sistemas (CAOS)es
dc.contributor.authorIglesias Martínez, José Antonio
dc.contributor.authorAngelov, Plamen
dc.contributor.authorLedezma Espino, Agapito Ismael
dc.contributor.authorSanchis de Miguel, María Araceli
dc.date.accessioned2012-04-23T09:10:00Z
dc.date.available2012-04-23T09:10:00Z
dc.date.issued2010
dc.description.abstractEnvironments equipped with intelligent sensors can be of much help if they can recognize the actions or activities of their users. If this activity recognition is done automatically, it can be very useful for different tasks such as future action prediction, remote health monitoring, or interventions. Although there are several approaches for recognizing activities, most of them do not consider the changes in how a human performs a specific activity. We present an automated approach to recognize daily activities from the sensor readings of an intelligent home environment. However, as the way to perform an activity is usually not fixed but it changes and evolves, we propose an activity recognition method based on Evolving Fuzzy Systems
dc.description.sponsorshipThis work has been partially supported by the Spanish Government under project TRA2007-67374-C02-02
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationInternational Journal of Neural Systems, (2010), 20(5), 355-364
dc.identifier.issn0129-0657
dc.identifier.publicationfirstpage355
dc.identifier.publicationissue5
dc.identifier.publicationlastpage364
dc.identifier.publicationtitleInternational Journal of Neural Systems
dc.identifier.publicationvolume20
dc.identifier.urihttps://hdl.handle.net/10016/14099
dc.language.isoeng
dc.publisherWorld Scientific Publishing Company
dc.rights© World Scientific Publishing Company
dc.rights.accessRightsopen access
dc.subject.ecienciaInformática
dc.subject.otherActivity recognition
dc.subject.otherEvolving fuzzy systems
dc.subject.otherFuzzy-Rule-Based (FRB) classifiers
dc.titleHuman activity recognition based on evolving fuzzy systems
dc.typeresearch article*
dc.type.hasVersionAM*
dspace.entity.typePublication
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