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Assessing the impact of individual sensor reliability within smart living environments
University of Ulster.
University of Ulster.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0003-3191-8335
University of Ulster.
Show others and affiliations
2008 (English)In: IEEE International Conference onAutomation Science and Engineering: CASE 2008, Piscataway, NJ: IEEE Communications Society, 2008, p. 685-690Conference paper, Published paper (Refereed)
Abstract [en]

The potential of smart living environments to provide a form of independent living for the ageing population is becoming more recognised. These environments are comprised of sensors which are used to assess the state of the environment, some form of information management to process the sensor data and finally a suite of actuators which can be used to change the state of the environment. When providing a form of support which may impinge upon the well being of the end user it is essential that a high degree of reliability can be maintained. Within this paper we present an information management framework to process sensor based data within smart environments. Based on this framework we assess the impact of sensor reliability on the classification of activities of daily living. From this assessment we show how it is possible to identify which sensors within a given set of experiments can be considered to be the most critical and as such consider how this information may be used to propose a set of guidelines which may be adopted for managing sensor reliability from a practical point of view.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2008. p. 685-690
National Category
Other Medical Engineering Media and Communication Technology
Research subject
Medical Engineering for Healthcare; Mobile and Pervasive Computing
Identifiers
URN: urn:nbn:se:ltu:diva-34699DOI: 10.1109/COASE.2008.4626548ISI: 000261320400113Scopus ID: 2-s2.0-54949113783Local ID: 8f85d2e0-2d62-11dd-9c9b-000ea68e967bISBN: 978-1-4244-2022-3 (print)OAI: oai:DiVA.org:ltu-34699DiVA, id: diva2:1007950
Conference
IEEE International Conference on Automation Science and Engineering : 23/08/2008 - 26/08/2008
Note
Godkänd; 2008; 20080529 (qwazi)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-07-10Bibliographically approved

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Hallberg, JosefSynnes, Kåre

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
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  • Other locale
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Output format
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