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A Dataset of Routine Daily Activities in an Instrumented Home

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 in-strumented apartment. Data collection spanned 4 consecutive weeks of working days for a total of around 180 hours 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.
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Contributor : Julien Cumin <>
Submitted on : Monday, November 20, 2017 - 3:09:07 PM
Last modification on : Thursday, November 19, 2020 - 1:01:26 PM
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Julien Cumin, Grégoire Lefebvre, Fano Ramparany, James L. Crowley. A Dataset of Routine Daily Activities in an Instrumented Home. UCAmI 2017 - 11th International Conference on Ubiquitous Computing and Ambient Intelligence, Nov 2017, Philadelphie, United States. pp.413-425, ⟨10.1007/978-3-319-67585-5_43⟩. ⟨hal-01639673⟩



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