A Benchmark Dataset for Human Activity Recognition and Ambient Assisted Living
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2016
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Springer International Publishing
Abstract
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.
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Publisher Copyright: © Springer International Publishing Switzerland 2016.
Keywords
Ambient assisted living , Human Activity Recognition , Datasets , Ambient assisted living , Human Activity Recognition , Datasets , Control and Systems Engineering , General Computer Science , Project ID , info:eu-repo/grantAgreement/EC/FP7/269914/EU/Robotics UBIquitous COgnitive Network/RUBICON , info:eu-repo/grantAgreement/EC/FP7/269914/EU/Robotics UBIquitous COgnitive Network/RUBICON , Funding Info , European Commission's FP7 , European Commission's FP7
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Amato , 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
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