A Predictive Analysis of the Night-Day Activities Level of Older Patient in a Health Smart Home (original) (raw)

Abstract

The present paper focuses on the experimental set up of a Health Smart Home (HSH) “or HIS in French” with presence infrared sensors (PIR) to detect and report data on the daily activities of fragile person in hospital suite. To study the data, predictive analyses are used to find the most pertinent parameters and indicators of these activities. A relationship is established between the activities of night (nocturnal) and day (diurnal).

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Authors and Affiliations

  1. Faculte de Médecine de Grenoble, TIMC-IMAG, UMR5252, 38706, La Tronche, France
    Tareq Hadidi & Norbert Noury
  2. INL-INSA Lyon, UMR 5270, Bat Léonard de Vinci, 69621, Villeurbanne cedex, France
    Norbert Noury

Authors

  1. Tareq Hadidi
  2. Norbert Noury

Editor information

Editors and Affiliations

  1. Institut TELECOM/TELECOM SudParis, Handicom Lab., 9, rue Charles Fourier, 91011, Evry Cedex, France
    Mounir Mokhtari & Jérémy Bauchet &
  2. Institute of Telecooperation, Johannes Kepler University Linz, Altenberger Strasse 69, 4040, Linz, Austria
    Ismail Khalil
  3. Telecommunication Network and Services Department, HANDICOM Lab., Institut TELECOM & Management SudParis, 9, rue Charles Fourier, 91011, Evry Cedex, France
    Daqing Zhang
  4. School of Computing and Mathematics, University of Ulster at Jordanstown, Shore Road, Newtownabbey, BT37 0QB, Co. Antrim, UK
    Chris Nugent

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© 2009 Springer-Verlag Berlin Heidelberg

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Hadidi, T., Noury, N. (2009). A Predictive Analysis of the Night-Day Activities Level of Older Patient in a Health Smart Home. In: Mokhtari, M., Khalil, I., Bauchet, J., Zhang, D., Nugent, C. (eds) Ambient Assistive Health and Wellness Management in the Heart of the City. ICOST 2009. Lecture Notes in Computer Science, vol 5597. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02868-7\_44

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