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dc.contributorUniversitat Ramon Llull. La Salle
dc.contributor.authorDíez Ruiz de los Paños, Gerard
dc.contributor.authorVidaña Vila, Ester
dc.contributor.authorFreixes, Marc
dc.contributor.authorAlsina-Pagès, Rosa Ma
dc.date.accessioned2026-03-17T19:36:30Z
dc.date.available2026-03-17T19:36:30Z
dc.date.created2024
dc.date.issued2024-09-25
dc.identifier.isbn9781643685434ca
dc.identifier.issn1879-8314ca
dc.identifier.urihttp://hdl.handle.net/20.500.14342/6077
dc.description.abstractThis work in progress aims to help achieve an early diagnosis of cognitive and functional deterioration in elderly people who live alone through the use of Acoustic Event Detection (AED), Wireless Acoustic Sensor Networks (WASN) and Internet of Things (IoT). As of now, four fully functional networks have been deployed and are acquiring data in order to build a custom dataset.ca
dc.format.extent2 p.ca
dc.language.isoengca
dc.publisherIOS Pressca
dc.relation.ispartofArtificial Intelligence Research and Development - Proceedings of the 26th International Conference of the Catalan Association for Artificial Intelligenceca
dc.rights© L'autor/aca
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subject.otherAI applicationsca
dc.subject.otherReal time AIca
dc.subject.otherBehavioural trackingca
dc.subject.otherWireless acoustic sensor networkca
dc.subject.otherAcoustic event detectionca
dc.subject.otherAmbient assited livingca
dc.titleAcoustic Event Detection in a Wireless Acoustic Sensors Networkca
dc.typeinfo:eu-repo/semantics/articleca
dc.rights.accessLevelinfo:eu-repo/semantics/openAccess
dc.embargo.termscapca
dc.subject.udc004ca
dc.subject.udc531/534ca
dc.subject.udc62ca
dc.identifier.doihttps://doi.org/10.3233/FAIA240434ca
dc.description.versioninfo:eu-repo/semantics/publishedVersionca


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Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by-nc/4.0/
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