Uncertain Information Management for ADL Monitoring in Smart Homes

X Hong, CD Nugent, W Liu, J Ma, SI McClean, BW Scotney, MD Mulvenna

Research output: Chapter in Book/Report/Conference proceedingChapter

6 Citations (Scopus)

Abstract

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.
LanguageEnglish
Title of host publicationIntelligent Patient Management
EditorsSI McClean, P Millard, E El-Darzi, CD Nugent
Pages315-332
Number of pages18
VolumeStudie
DOIs
Publication statusPublished - Mar 2009

Fingerprint

Information management
Merging
Monitoring
Sensors
Information fusion
Aging of materials
Acoustic waves
Communication

Keywords

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

Cite this

Hong, X., Nugent, CD., Liu, W., Ma, J., McClean, SI., Scotney, BW., & Mulvenna, MD. (2009). Uncertain Information Management for ADL Monitoring in Smart Homes. In SI. McClean, P. Millard, E. El-Darzi, & CD. Nugent (Eds.), Intelligent Patient Management (Vol. Studie, pp. 315-332) https://doi.org/10.1007/978-3-642-00179-6_19
Hong, X ; Nugent, CD ; Liu, W ; Ma, J ; McClean, SI ; Scotney, BW ; Mulvenna, MD. / Uncertain Information Management for ADL Monitoring in Smart Homes. Intelligent Patient Management. editor / SI McClean ; P Millard ; E El-Darzi ; CD Nugent. Vol. Studie 2009. pp. 315-332
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Hong, X, Nugent, CD, Liu, W, Ma, J, McClean, SI, Scotney, BW & Mulvenna, MD 2009, Uncertain Information Management for ADL Monitoring in Smart Homes. in SI McClean, P Millard, E El-Darzi & CD Nugent (eds), Intelligent Patient Management. vol. Studie, pp. 315-332. https://doi.org/10.1007/978-3-642-00179-6_19

Uncertain Information Management for ADL Monitoring in Smart Homes. / Hong, X; Nugent, CD; Liu, W; Ma, J; McClean, SI; Scotney, BW; Mulvenna, MD.

Intelligent Patient Management. ed. / SI McClean; P Millard; E El-Darzi; CD Nugent. Vol. Studie 2009. p. 315-332.

Research output: Chapter in Book/Report/Conference proceedingChapter

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AU - Liu, W

AU - Ma, J

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AU - Scotney, BW

AU - Mulvenna, MD

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AB - 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.

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KW - uncertainty

KW - information fusion

KW - belief revision

KW - belief merging

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KW - ordinal conditional function

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Hong X, Nugent CD, Liu W, Ma J, McClean SI, Scotney BW et al. Uncertain Information Management for ADL Monitoring in Smart Homes. In McClean SI, Millard P, El-Darzi E, Nugent CD, editors, Intelligent Patient Management. Vol. Studie. 2009. p. 315-332 https://doi.org/10.1007/978-3-642-00179-6_19