A Benchmark Dataset for Human Activity Recognition and Ambient Assisted Living

Giuseppe Amato, Davide Bacciu, Stefano Chessa, Mauro Dragone, Claudio Gallicchio, Claudio Gennaro, Hector Lozano, Alessio Micheli, Gregory M. P. O'Hare, Arantxa Renteria, Claudio Vairo

Research output: Chapter in Book/Report/Conference proceedingChapter

16 Citations (Scopus)


We present a data benchmark for the assessment of human activityrecognition solutions, collected as part of the EU FP7 RUBICON project, andavailable to the scientific community. The dataset provides fully annotated datapertaining to numerous user activities and comprises synchronized data streamscollected 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.
Original languageEnglish
Title of host publicationAmbient Intelligence- Software and Applications – 7th International Symposium on Ambient Intelligence (ISAmI 2016)
EditorsHelena Lindgren, Juan F. De Paz, Paulo Novais, Antonio Fernández-Caballero, Hyun Yoe, Andres Jiménez Ramírez, Gabriel Villarrubia
Number of pages9
ISBN (Electronic)9783319401140
ISBN (Print)9783319401133
Publication statusPublished - 2016
Event7th International Symposium on Ambient Intelligence 2016 - University of Sevilla, Sevilla, Spain
Duration: 1 Jun 20163 Jun 2016

Publication series

NameAdvances in Intelligent Systems and Computing
PublisherSpringer International Publishing
ISSN (Print)2194-5357


Conference7th International Symposium on Ambient Intelligence 2016
Abbreviated titleISAmI 2016
Internet address


  • Ambient assisted living
  • Human Activity Recognition
  • Datasets

ASJC Scopus subject areas

  • Artificial Intelligence
  • Signal Processing


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