Goal Oriented Opportunistic Recognition of High-Level Composed Activities Using Dynamically Configured Hidden Markov Models

Gerold Hölzl, Marc Kurz, Alois Ferscha

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

3 Citations (Scopus)

Abstract

The emerging availability of already deployed sensors that can be utilized for activity and context recognition raised a new paradigm. This paradigm called opportunistic sensing utilizes the available sensing infrastructure for activity and context recognition. This work focuses on utilizing this dynamically varying infrastructure to recognize high-level composed activities. The proposed method uses activity relations modeled in an ontology to dynamically configure Hidden Markov Models (HMM) capable of detecting activities and context. The dynamic creation of the HMMs is directed by the recognition purpose of the activity and context recognition system. The recognition purpose is expressed in form of a semantic abstracted, high level recognition goal. This flexible way of directing the dynamic configuration of an activity and context recognition system during runtime follows the opportunistic sensing approach. The constructed HMM relies on the recognition purpose of the system and the configured sensing ensemble on the underlaying and available sensing infrastructure. This enables the dynamic configuration and adaption during runtime of the activity and context recognition system to detect composed and time sequenced activities using HMMs in an opportunistic way.

Original languageEnglish
Title of host publicationThe 3rd International Conference on Ambient Systems, Networks and Technologies (ANT2012)
PublisherElsevier Science Inc.
Pages308-315
Number of pages8
Volume10
DOIs
Publication statusPublished - 2012
EventThe 3rd International Conference on Ambient Systems, Networks and Technologies - Niagara Falls, Ontario, Canada
Duration: 27 Aug 201229 Aug 2012

Publication series

NameProcedia Computer Science
ISSN (Print)1877-0509

Conference

ConferenceThe 3rd International Conference on Ambient Systems, Networks and Technologies
CountryCanada
CityNiagara Falls, Ontario
Period27.08.201229.08.2012

Keywords

  • Activity Modelling
  • Activity and Context Recognition
  • Goal Oriented Opportunistic Sensing

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