Amato, GiuseppeBacciu, DavideChessa, StefanoDragone, MauroGallicchio, ClaudioGennaro, ClaudioLozano, HectorMicheli, AlessioO´HARE, Gregory M.Renteria, ArantxaVairo, ClaudioO’Hare, Gregory M.P.De Paz, Juan F.Yoe, HyunVillarrubia, GabrielNovais, PauloLindgren, HelenaFernández-Caballero, AntonioRamírez, Andres Jiménez2016Amato , 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_1conference978-3-319-40113-39783319401133researchoutputwizard: 11556/309Publisher Copyright: © Springer International Publishing Switzerland 2016.We 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.9453818enginfo:eu-repo/semantics/restrictedAccessconference output10.1007/978-3-319-40114-0_1Ambient assisted livingHuman Activity RecognitionDatasetsAmbient assisted livingHuman Activity RecognitionDatasetsControl and Systems EngineeringGeneral Computer ScienceProject IDinfo:eu-repo/grantAgreement/EC/FP7/269914/EU/Robotics UBIquitous COgnitive Network/RUBICONinfo:eu-repo/grantAgreement/EC/FP7/269914/EU/Robotics UBIquitous COgnitive Network/RUBICONFunding InfoEuropean Commission's FP7European Commission's FP7http://www.scopus.com/inward/record.url?scp=84976479758&partnerID=8YFLogxK