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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

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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)