Assessment of the impact of sensor failure in the recognition of activities of daily living

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 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. Within these environments sensing technologies provide a key facility to monitor the behaviour of the person and their interactions with the living environment. In this paper we investigate the effects of sensor failures on the `trust' of activity inference processing. We introduce a sensor evidence reasoning network which has been developed for ADL recognition along with the ability of handling uncertainty that may occur at a sensor level. Details of the initial experiments which have been conducted in the assessment of ADLs in a smart laboratory environment using this model are presented. Finally, we present the findings from the analysis on experimental and simulation data taking into consideration the impact of sensor failure on the overall stage of inference processing.
Original languageEnglish
Title of host publicationUnknown Host Publication
Pages136-144
Number of pages9
DOIs
Publication statusPublished - Jun 2008
Event6th International Conference on Smart Homes and Health Telematics (ICOST 2008) - Ames, IA, USA
Duration: 1 Jun 2008 → …

Publication series

NameLECTURE NOTES IN COMPUTER SCIENCE

Conference

Conference6th International Conference on Smart Homes and Health Telematics (ICOST 2008)
Period1/06/08 → …

Keywords

  • Smart homes
  • activities of daily living
  • sensing technologies
  • evidence fusion
  • trust

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