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On-line ADL recognition with prior knowledge
Örebro University, School of Science and Technology. (AASS)
Örebro University, School of Science and Technology. (AASS)
Örebro University, School of Science and Technology. (AASS)ORCID iD: 0000-0002-9652-7864
2010 (English)In: STAIRS 2010: proceedings of the fifth Starting AI Researchers' Symposium / [ed] Thomas Ågotnes, Amsterdam: IOS Press, 2010, p. 354-366Conference paper, Published paper (Refereed)
Abstract [en]

This paper addresses the problem of recognizing activities of daily living. The novelty lies in the use of an existing knowledge base (ConceptNet) to introduce prior knowledge into the system in order to reduce the amount of learning required to deploy the system in a real environment. The use of household objects is central in the recognition of activities that are being performed, and we attach semantic meaning to both the objects and activities that are being recognized. The paper describes a framework which is specifically geared towards realizing activity recognition systems which leverage prior knowledge. A preliminary implementation of a neural network based recognition system built on this framework is shown, and the added value of prior knowledge is evaluated through the use of various data sets.

Place, publisher, year, edition, pages
Amsterdam: IOS Press, 2010. p. 354-366
Series
Frontiers in Artificial Intelligence and Applications ; 222
National Category
Computer Sciences Information Systems
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:oru:diva-14509DOI: 10.3233/978-1-60750-676-8-354ISI: 000325429800029Scopus ID: 2-s2.0-78650325154ISBN: 978-1-60750-675-1 (print)OAI: oai:DiVA.org:oru-14509DiVA, id: diva2:395776
Conference
European Starting AI Researcher Symposium (STAIRS) 2010
Available from: 2011-02-08 Created: 2011-02-08 Last updated: 2018-01-12Bibliographically approved

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Ullberg, JonasCoradeschi, SilviaPecora, Federico

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf