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dc.contributor.authorAmato, Giuseppe
dc.contributor.authorBacciu, Davide
dc.contributor.authorChessa, Stefano
dc.contributor.authorDragone, Mauro
dc.contributor.authorGallicchio, Claudio
dc.contributor.authorGennaro, Claudio
dc.contributor.authorLozano, Hector
dc.contributor.authorMicheli, Alessio
dc.contributor.authorO´HARE, Gregory M.
dc.contributor.authorRenteria, Arantxa
dc.contributor.authorVairo, Claudio
dc.date.accessioned2016-10-26T14:10:54Z
dc.date.available2016-10-26T14:10:54Z
dc.date.issued2016
dc.identifier.citationAmbient Intelligence- Software and Applications – 7th International Symposium on Ambient Intelligence (ISAmI 2016) Volume 476 of the series Advances in Intelligent Systems and Computing pp 1-9, 28 May 2016en
dc.identifier.isbn978-3-319-40113-3en
dc.identifier.issn2194-5357en
dc.identifier.urihttp://hdl.handle.net/11556/309
dc.description.abstractWe present a data benchmark for the assessment of human activity recognition solutions, collected as part of the EU FP7 RUBICON project, and available to the scientific community. The dataset provides fully annotated data pertaining to numerous user activities and comprises synchronized data streams collected from a highly sensor-rich home environment. A baseline activity recognition performance obtained through an Echo State Network approach is provided along with the dataset.en
dc.description.sponsorshipEuropean Commission's FP7en
dc.language.isoengen
dc.publisherSpringer International Publishingen
dc.titleA Benchmark Dataset for Human Activity Recognition and Ambient Assisted Livingen
dc.typeconferenceObjecten
dc.identifier.doi10.1007/978-3-319-40114-0_1en
dc.isiYesen
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP7/269914/EU/Robotics UBIquitous COgnitive Network/RUBICONen
dc.rights.accessRightsembargoedAccessen
dc.subject.keywordsAmbient assisted livingen
dc.subject.keywordsHuman Activity Recognitionen
dc.subject.keywordsDatasetsen


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