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A Dataset of Routine Daily Activities in an Instrumented Home

  • Julien CuminEmail author
  • Grégoire Lefebvre
  • Fano Ramparany
  • James L. Crowley
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10586)

Abstract

We present a new dataset, called Orange4Home, of activities of daily living of one inhabitant in a smart home environment. We collected data from 236 heterogeneous sensors in a fully integrated instrumented apartment. Data collection spanned 4 consecutive weeks of working days for a total of around 180 h of recording. 20 classes of varied activities were labeled in situ. We report the methodology adopted to establish a representative, challenging dataset, as well as present the apartment and sensors used to collect this data.

Keywords

Dataset Activities of daily living Smart home 

Notes

Acknowledgments

We thank Nicolas Bonnefond and Stan Borkowski for their technical and organizational help. This work benefited from the support of the French State through the Agence Nationale de la Recherche under the Future Investments program referenced ANR-11-EQPX-0002.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Julien Cumin
    • 1
    • 2
    Email author
  • Grégoire Lefebvre
    • 1
  • Fano Ramparany
    • 1
  • James L. Crowley
    • 2
  1. 1.Orange LabsMeylanFrance
  2. 2.Univ. Grenoble Alpes, Inria, CNRS, Grenoble INP, LIGGrenobleFrance

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