Self-Organising Object Networks using Context Zones for Distributed Activity Recognition

Venet Osmani, Sasitharan Balasubramaniam, Dmitri Botvich

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

11 Citations (Scopus)

Abstract

Activity recognition has a high applicability scope in patient monitoring since it has the potential to observe patients’ actions and recognise erratic behaviour. Our activity recognition architecture described in this paper is particularly suited for this task due to the fact that collaboration of constituent components, namely Object Networks, Activity Map and Activity Inference Engine create a flexible and scalable platform taking into consideration needs of individual users. We utilise information generated from sensors that observe user interaction with the objects in the environment and also information from body-worn sensors. This information is processed in a distributed manner through the object network hierarchy which we formally define. The object network has the effect of increasing the level of abstraction of information such that this high-level information is utilised by the Activity Inference Engine. This engine also takes into consideration information from the user’s profiles in order to deduce the most probable activity and at the same time observe any erratic or potentially unsafe behaviour. We also present a scenario and show the results of our study.
Original languageEnglish
Title of host publicationBODYNETS 2007 - 2nd International ICST Conference on Body Area Networks
EditorsRomano Fantacci
PublisherICST
ISBN (Electronic)9789630621939
DOIs
Publication statusPublished - 2007
EventICST 2nd International Conference on Body Area Networks, BodyNets 2007 - Florence, Italy
Duration: 11 Jun 200713 Jun 2007

Publication series

NameBODYNETS 2007 - 2nd International ICST Conference on Body Area Networks

Conference

ConferenceICST 2nd International Conference on Body Area Networks, BodyNets 2007
Country/TerritoryItaly
CityFlorence
Period11/06/200713/06/2007

Keywords

  • Activity
  • Health-care
  • Inference
  • Monitoring
  • Recognition

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