A Benchmark Dataset for Human Activity Recognition and Ambient Assisted Living

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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.contributor.authorO’Hare, Gregory M.P.
dc.contributor.editorDe Paz, Juan F.
dc.contributor.editorYoe, Hyun
dc.contributor.editorVillarrubia, Gabriel
dc.contributor.editorNovais, Paulo
dc.contributor.editorLindgren, Helena
dc.contributor.editorFernández-Caballero, Antonio
dc.contributor.editorRamírez, Andres Jiménez
dc.contributor.institutionMedical Technologies
dc.contributor.institutionRobótica Médica
dc.date.issued2016
dc.descriptionPublisher Copyright: © Springer International Publishing Switzerland 2016.
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.statusPeer reviewed
dc.format.extent9
dc.format.extent453818
dc.identifier.citationAmato , G , Bacciu , D , Chessa , S , Dragone , M , Gallicchio , C , Gennaro , C , Lozano , H , Micheli , A , O´HARE , G M , Renteria , A , Vairo , C & O’Hare , G M P 2016 , A Benchmark Dataset for Human Activity Recognition and Ambient Assisted Living . in J F De Paz , H Yoe , G Villarrubia , P Novais , H Lindgren , A Fernández-Caballero & A J Ramírez (eds) , unknown . 2194-5357 , Springer International Publishing , pp. 1-9 , 7th International Symposium on Ambient Intelligence, ISAmI 2016 , Seville , Spain , 1/06/16 . https://doi.org/10.1007/978-3-319-40114-0_1
dc.identifier.citationconference
dc.identifier.doi10.1007/978-3-319-40114-0_1
dc.identifier.isbn978-3-319-40113-3
dc.identifier.isbn9783319401133
dc.identifier.otherresearchoutputwizard: 11556/309
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=84976479758&partnerID=8YFLogxK
dc.language.isoeng
dc.publisherSpringer International Publishing
dc.relation.ispartofunknown
dc.relation.ispartofseries2194-5357
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subject.keywordsAmbient assisted living
dc.subject.keywordsHuman Activity Recognition
dc.subject.keywordsDatasets
dc.subject.keywordsAmbient assisted living
dc.subject.keywordsHuman Activity Recognition
dc.subject.keywordsDatasets
dc.subject.keywordsControl and Systems Engineering
dc.subject.keywordsGeneral Computer Science
dc.subject.keywordsProject ID
dc.subject.keywordsinfo:eu-repo/grantAgreement/EC/FP7/269914/EU/Robotics UBIquitous COgnitive Network/RUBICON
dc.subject.keywordsinfo:eu-repo/grantAgreement/EC/FP7/269914/EU/Robotics UBIquitous COgnitive Network/RUBICON
dc.subject.keywordsFunding Info
dc.subject.keywordsEuropean Commission's FP7
dc.subject.keywordsEuropean Commission's FP7
dc.titleA Benchmark Dataset for Human Activity Recognition and Ambient Assisted Livingen
dc.typeconference output
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