Skip to main content
SpringerLink
Log in

An Event-Driven Approach to Activity Recognition in Ambient Assisted Living

  • Conference paper
Ambient Intelligence (AmI 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5859))

Included in the following conference series:

Abstract

One central challenge of Ambient Assisted Living systems is reliable recognition of the assisted person’s current behavior, so that adequate assistance services can be offered in a specific situation. In the context of emergency support, such a situation might be an acute emergency situation or a deviation from the usual behavior. To optimize prevention of emergencies, reliable recognition of charac teristic Activities of Daily Living (ADLs) is promising. In this paper, we present our approach to processing information for the detection of ADLs in the EMERGE project. The approach is based on our multi-agent activity recog nition framework EARS with its special definition language EARL. An evaluation with controlled experiments has proven its suitability.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Nehmer, J., Becker, M., Kleinberger, T., Prueckner, S.: Electronic Emergency Safeguards for the aging generation; Gerontology: Regenerative and Technological Gerontology. In: Special Section Technology and Aging: Integrating Psychological, Medical, and Engineering Perspectives. Karger Verlag (2009)

    Google Scholar 

  2. EMERGE: Emergency Monitoring and Prevention, Specific Targeted Research Project (STREP) of the EC, Project No. 045056, http://www.emerge-project.eu

  3. Katz, S., Ford, A.B., Moskowitz, R.W., Jackson, B.A., Jaffe, M.W.: Studies of Illness in the Aged: The Index of ADL: A Standardized Measure of Biological and Psychosocial Function. Journal of the American Medical Association 185(12), 914–919 (1963)

    Google Scholar 

  4. Van Megen, F., Sugar, R., Latour, L., Neugebauer, M., Gefflaut, A.: Supporting Diabetes Treatment through Wearable Sensor Integration. In: Proc. WSNHC (2007)

    Google Scholar 

  5. Prueckner, S., Madler, C., Beyer, D., Berger, M., Kleinberger, T., Becker, M.: Emergency Monitoring and Prevention - EU Project EMERGE. In: Ambient Assisted Living Proc. 1st German AAL-Congress (2008)

    Google Scholar 

  6. Hein, A., Kirste, T.: Activity Recognition for Ambient Assisted Living: Potential and Challenges. In: Proc. 1st German AAL-Congress (2008)

    Google Scholar 

  7. Pollack, M.E.: Intelligent Technology for an Aging Population - The Use of AI to Assist Elders with Cognitive Impairment. In: American Association for Artificial Intelligence (2005)

    Google Scholar 

  8. Fitzgerald, W., Firby, R.J., Phillips, A., Kairys, J.: Complex Event Pattern Recognition for Long-Term System Monitoring. In: Workshop on Interaction between Humans and Autonomous Systems over Extended Operation (2004)

    Google Scholar 

  9. Luckham, D.: The Power of Events: An Introduction to Complex Event Processing in Distributed Enterprise Systems, pp. 145–174. Addison-Wesley, Reading (2002)

    Google Scholar 

  10. Tapia, E.M., Intille, S.S., Larson, K.: Activity Recognition in the Home Using Simple and Ubiquitous Sensors. In: Ferscha, A., Mattern, F. (eds.) PERVASIVE 2004. LNCS, vol. 3001, pp. 158–175. Springer, Heidelberg (2004)

    Google Scholar 

  11. Wooldridge, M.: An Introduction to MultiAgent Systems, p. 16. John Wiley & Sons, Chichester (2002)

    Google Scholar 

  12. Storf, H., Becker, M., Riedl, M.: Rule-based Activity Recognition Framework: Challenges, Technique and Learning. In: Proc. PervaSense Workshop, Pervasive Health (2009)

    Google Scholar 

  13. Kleinberger, T., Jedlitschka, A., Storf, H., Steinbach-Nordmann, S., Prueckner, S.: An Approach to Evaluations of Assisted Living Systems using Ambient Intelligence for Emergency Monitoring and Prevention. In: Proc. 13th International Conference on Human-Computer Interaction (2009)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Fraunhofer-Institute Experimental Software Engineering, Fraunhofer-Platz 1, 67663, Kaiserslautern, Germany

    Holger Storf, Thomas Kleinberger, Martin Becker, Mario Schmitt & Frank Bomarius

  2. Department of Anaesthesiology and Emergency Medicine, Westpfalz-Klinikum GmbH, Hellmut-Hartert-Strasse 1, 67655, Kaiserslautern, Germany

    Stephan Prueckner

Authors
  1. Holger Storf
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Thomas Kleinberger
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Martin Becker
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Mario Schmitt
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Frank Bomarius
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Stephan Prueckner
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. ICT&S Center, University of Salzburg, Sigmund-Haffner-Gasse 18, 5020, Salzburg, Austria

    Manfred Tscheligi

  2. User Experiences Department, Philips Research Europe, High Tech Campus 34 - WB - 5.27, 5656, Eindhoven, AE, The Netherlands

    Boris de Ruyter

  3. Industrial Design, Technische Universiteit, HG 2.54 Den Dolech 2, Eindhoven, P.O. Box 513, 5600, Eindhoven, MB, The Netherlands

    Panos Markopoulus

  4. Fraunhofer-Institut fĂĽr Graphische Datenverarbeitung IGD, Fraunhoferstrasse 5, 64283, Darmstadt, Germany

    Reiner Wichert

  5. ICT&S Center, University of Salzburg, A-5020, Salzburg, Austria

    Thomas Mirlacher , Alexander Meschterjakov  & Wolfgang Reitberger ,  & 

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Storf, H., Kleinberger, T., Becker, M., Schmitt, M., Bomarius, F., Prueckner, S. (2009). An Event-Driven Approach to Activity Recognition in Ambient Assisted Living. In: Tscheligi, M., et al. Ambient Intelligence. AmI 2009. Lecture Notes in Computer Science, vol 5859. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-05408-2_16

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-05408-2_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-05407-5

  • Online ISBN: 978-3-642-05408-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation