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Data Stream Management in the AAL: Universal and Flexible Preprocessing of Continuous Sensor Data

  • Dennis Geesen
  • Melina Brell
  • Marco Grawunder
  • Daniela Nicklas
  • Hans-Jürgen Appelrath
Part of the Advanced Technologies and Societal Change book series (ATSC)

Abstract

Continuous and potentially infinite sequences of data—so-called data streams—are processed in many applications of Ambient Assisted Living (AAL). The preprocessing of such high frequent data is normally done by fixed code or hard wired hardware. This leads on the one hand to an inflexible and extensive to change processing and on the other hand to very specialized solutions. Like databases data stream management systems (DSMS) offer a universal processing of data, but are designed for highly frequent and potentially infinite data streams. Thus, DSMS are an alternative approach for processing sensor data. Therefore, this paper shows how DSMS can be used in the AAL for an universal and flexible preprocessing of sensor data. For this, DSMS and its features are introduced and we show which advantages over existing solutions a DSMS can offer for future researches in AAL.

Keywords

Data Stream Query Processing Concept Drift Query Plan Ambient Assist Live 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  • Dennis Geesen
    • 1
  • Melina Brell
    • 2
  • Marco Grawunder
    • 1
  • Daniela Nicklas
    • 1
  • Hans-Jürgen Appelrath
    • 1
  1. 1.Department of Computing ScienceUniversity of OldenburgOldenburgGermany
  2. 2.OFFIS - Institute for Information TechnologyOldenburgGermany

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