Customized situation verification in ambient assisted living environments

Mario Buchmayr, Werner Kurschl, Josef Küng

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

Abstract

The demographic change in the European society leads to an increased demand for assistance and support systems for elderly people. To cope with the upcoming superannuation of the population a variety of projects for developing Ambient Assisted Living (AAL) solutions were funded. The usage of multiple sensor sources can increase the accuracy and fault tolerance of an ambient system, but increases the effort and complexity for decision making as well. In ambient assisted environments, where the decision making process has to consider different user specific behavior, complexity becomes an issue. Therefore, we propose the usage of a semantic layer, which encapsulates user specific information and enriches sensed user interactions with semantics. Within this paper we present an approach, which (i) allows to verify sensor events in a user specific context during decision making and (ii) ensures that actions are triggered corresponding to the user's needs. To demonstrate the feasibility of our approach we implemented the use case of detecting and handling a critical household event by using a simulation environment to evaluate different scenario set ups.

Original languageEnglish
Title of host publicationAmbient Intelligence - 4th International Joint Conference, AmI 2013, Proceedings
Pages48-61
Number of pages14
DOIs
Publication statusPublished - 2013
Event4th International Joint Conference on Ambient Intelligence, AmI 2013 - Dublin, Ireland
Duration: 3 Dec 20135 Dec 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8309 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference4th International Joint Conference on Ambient Intelligence, AmI 2013
CountryIreland
CityDublin
Period03.12.201305.12.2013

Keywords

  • Ambient Assisted Living
  • Ontology-based data management
  • Semantic data

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