Chapter

Intelligent Patient Management

Volume 189 of the series Studies in Computational Intelligence pp 315-332

Uncertain Information Management for ADL Monitoring in Smart Homes

  • Xin HongAffiliated withSchool of Computing and Mathematics and Computer Science Research Institute, University of Ulster
  • , Chris NugentAffiliated withSchool of Computing and Mathematics and Computer Science Research Institute, University of Ulster
  • , Weiru LiuAffiliated withSchool of Computer Science, Queen’s University Belfast
  • , Jianbing MaAffiliated withSchool of Computer Science, Queen’s University Belfast
  • , Sally McCleanAffiliated withSchool of Computing and Information Engineering and Computer Science Research Institute, University of Ulster
  • , Bryan ScotneyAffiliated withSchool of Computing and Information Engineering and Computer Science Research Institute, University of Ulster
  • , Maurice MulvennaAffiliated withSchool of Computing and Mathematics and Computer Science Research Institute, University of Ulster

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Summary

Smart Homes offer improved living conditions and levels of independence for the elderly population who require support with both physical and cognitive functions. Sensor technology development and communication networking have been well explored within the area of smart living environments to meet the demands for ageing in place. In contrast, information management still faces a challenge to be practically sound. In our current research we deploy the Dempster-Shafer theory of evidence to represent and reason with uncertain sensor data along with revision and merging techniques to resolve inconsistencies among information from different sources. We present a general framework for sensor information fusion and knowledge revision/merging especially for monitoring activities of daily living in a smart home.

Keywords

Smart sensorised living environment uncertainty information fusion belief revision belief merging DS theory epistemic state ordinal conditional function