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Universal Access in Human-Computer Interaction. Intelligent and Ubiquitous Interaction Environments

Volume 5615 of the series Lecture Notes in Computer Science pp 199-208

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

  • Thomas KleinbergerAffiliated withLancaster UniversityFraunhofer Institute Experimental Software Engineering
  • , Andreas JedlitschkaAffiliated withLancaster UniversityFraunhofer Institute Experimental Software Engineering
  • , Holger StorfAffiliated withLancaster UniversityFraunhofer Institute Experimental Software Engineering
  • , Silke Steinbach-NordmannAffiliated withLancaster UniversityFraunhofer Institute Experimental Software Engineering
  • , Stephan PruecknerAffiliated withLancaster UniversityDepartment of Anaesthesiology and Emergency Medicine

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Abstract

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.

Keywords

Ambient Assisted Living Emergency Monitoring Experiments