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International Workshop on Ambient Assisted Living

IWAAL 2014: Ambient Assisted Living and Daily Activities pp 18–25Cite as

KNX-Based Sensor Monitoring for User Activity Detection in AAL-environments

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Part of the Lecture Notes in Computer Science book series (LNISA,volume 8868)

Abstract

We present an approach to monitor user activity by utilizing commercially and readily available home automation technology. Varying user constitutions demand an adaptive system that involves components from several device-families, which are not particularly designed to work together as an entity. We introduce the concept of a modular gateway architecture to meet these challenges. To evaluate our research with field studies, a prototype apartment, that uses largely but not exclusively KNX-based components has been implemented. Within the scope of this paper we focus on the integration of those devices into a larger OSGi-based framework.

Keywords

  • KNX
  • ambient intelligence
  • home gateway
  • activity monitoring

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  • DOI: 10.1007/978-3-319-13105-4_4
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References

  1. Randow, A., Golubski, W., Heinze, M., Leonhardt, S., Herting-Thomasius, R.: Akzeptanzforschung zu ausgewählten Assistenzfunktionen im Kontext von Ambient Assisted Living, Mobilität im Wandel, Zwickau (2012)

    Google Scholar 

  2. Szendrei, D., Franke, S.: Smarthome im Geschosswohnungsbau - Low Energy Living in Forschung und Praxis. In: 21st International Scientific Conference Mittweida, Scientific Reports - Energieeffizienz, pp. 34–37 (2011)

    Google Scholar 

  3. Clement, J., Ploennigs, J., Kabitzsch, K.: Intelligente Zähler: ADLs erkennen und indivi-dualisieren. In: Deutscher AAL-Kongress 2012. VDE Verlag GmbH, Berlin – Offenbach (2012)

    Google Scholar 

  4. Clement, J., Ploennigs, J., Kabitzsch, K.: Erkennung verschachtelter ADLs durch Smartmeter. In: Deutscher AAL-Kongress 2013. VDE Verlag GmbH, Berlin – Offenbach (2013)

    Google Scholar 

  5. Bieber, S., Fernholz, G.: Ambiente Umgebungen und mobile Aktivitätserkennung als neue Kommunikationsgrundlage. In: 3. Deutscher AAL-Kongress, ch. 3. VDE Verlag GmbH, Berlin (2010)

    Google Scholar 

  6. Wilken, Hein, Gietzelt, Reichertz, Spehr: Ein Ansatz zur Fusion von Aktivitätswahr-scheinlichkeiten zur robusten Identifikation von Aktivitäten des täglichen Lebens (ADL). In: Deutscher AAL-Kongress, ch. 4, VDE Verlag GmbH, Berlin (2011)

    Google Scholar 

  7. Gast, R.: Der unsichtbare Pfleger. In: Die Zeit, Nr.2 (2013)

    Google Scholar 

  8. KNX, http://www.knx.org/knx-en/index.php

  9. WAGO, http://global.wago.com/en/overview/index.jsp

  10. ETS, http://www.knx.org/de/knx-tools/ets4/description/

  11. Codesys, http://www.codesys.com/

  12. IP-Symcon, http://www.ip-symcon.de/en/

  13. OSGi, http://www.osgi.org/Main/HomePage

  14. Calimero, http://sourceforge.net/p/calimero/wiki/Home/

  15. Beagleboard-xM, http://beagleboard.org/Products/BeagleBoard-xM

  16. Opternus BIM M13x, http://www.opternus.com/de/siemens/knx-bus-interface-odule/bim-m130-135.html

  17. Malinowsky, B., Neugschwandtner, G., Kastner, W.: Calimero: Next Generation. Automation Systems Group. Institute of Automation, Vienna University of Technology (2007)

    Google Scholar 

  18. Spring framework, http://spring.io/docs

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Author information

Authors and Affiliations

  1. University of Applied Sciences Zwickau, Dr.-Friedrichs-Ring 2A, 08056, Zwickau, Germany

    Marcus Märker, Sebastian Wolf, Oliver Scharf, Daniel Plorin & Tobias Teich

Authors
  1. Marcus Märker
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  2. Sebastian Wolf
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  3. Oliver Scharf
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  4. Daniel Plorin
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  5. Tobias Teich
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Editor information

Editors and Affiliations

  1. School of Engineering, University of Warwick, CV4 7AL, Coventry, UK

    Leandro Pecchia

  2. School of Computer Science and Informatics, De Montfort University, The Gateway, LE1 9BH, Leicester, UK

    Liming Luke Chen

  3. Institute, School of Computing and Mathematics, University of Ulster, Computer Science Research, Jordanstown Campus, Shore Road, BT37 0QB, Newtownabbey, UK

    Chris Nugent

  4. Escuela Superior de Informática, Castilla La Mancha University, Paseo de la Universidad 4, 13071, Ciudad, Real, Spain

    José Bravo

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© 2014 Springer International Publishing Switzerland

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Cite this paper

Märker, M., Wolf, S., Scharf, O., Plorin, D., Teich, T. (2014). KNX-Based Sensor Monitoring for User Activity Detection in AAL-environments. In: Pecchia, L., Chen, L.L., Nugent, C., Bravo, J. (eds) Ambient Assisted Living and Daily Activities. IWAAL 2014. Lecture Notes in Computer Science, vol 8868. Springer, Cham. https://doi.org/10.1007/978-3-319-13105-4_4

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  • DOI: https://doi.org/10.1007/978-3-319-13105-4_4

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13104-7

  • Online ISBN: 978-3-319-13105-4

  • eBook Packages: Computer ScienceComputer Science (R0)