Human activity recognition based on evolving fuzzy systems

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Show simple item record Iglesias Martínez, José Antonio Angelov, Plamen Ledezma Espino, Agapito Ismael Sanchis de Miguel, María Araceli 2012-04-23T09:10:00Z 2012-04-23T09:10:00Z 2010
dc.identifier.bibliographicCitation International Journal of Neural Systems, (2010), 20(5), 355-364
dc.identifier.issn 0129-0657
dc.description.abstract Environments 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.sponsorship This work has been partially supported by the Spanish Government under project TRA2007-67374-C02-02
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher World Scientific Publishing Company
dc.rights © World Scientific Publishing Company
dc.subject.other Activity recognition
dc.subject.other Evolving fuzzy systems
dc.subject.other Fuzzy-Rule-Based (FRB) classifiers
dc.title Human activity recognition based on evolving fuzzy systems
dc.type article
dc.subject.eciencia Informática
dc.rights.accessRights openAccess
dc.type.version acceptedVersion
dc.identifier.publicationfirstpage 355
dc.identifier.publicationissue 5
dc.identifier.publicationlastpage 364
dc.identifier.publicationtitle International Journal of Neural Systems
dc.identifier.publicationvolume 20
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