An Approach to and Evaluations of Assisted Living Systems Using Ambient Intelligence for Emergency Monitoring and Prevention

  • Thomas Kleinberger
  • Andreas Jedlitschka
  • Holger Storf
  • Silke Steinbach-Nordmann
  • Stephan Prueckner
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5615)


Ambient Assisted Living (AAL) is currently one of the important research and development areas, where software engineering aspects play a significant role. The goal of AAL solutions is to apply ambient intelligence technologies to enable people with specific needs to continue to live in their preferred environments. This paper presents an approach and several evaluations for emergency monitoring applications. Experiments in a laboratory setting were performed to evaluate the accuracy of recognizing Activities of Daily Living (ADL). The results show that it is possible to detect ADLs with an accuracy of 92% on average. Hence, we conclude that it is possible to support elderly people in staying longer in their homes by autonomously detecting emergencies on the basis of ADL recognition.


Ambient Assisted Living Emergency Monitoring Experiments 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Thomas Kleinberger
    • 1
  • Andreas Jedlitschka
    • 1
  • Holger Storf
    • 1
  • Silke Steinbach-Nordmann
    • 1
  • Stephan Prueckner
    • 2
  1. 1.Fraunhofer Institute Experimental Software EngineeringKaiserslauternGermany
  2. 2.Department of Anaesthesiology and Emergency MedicineKaiserslauternGermany

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