umu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
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
A Probabilistic Non-Monotonic Activity Qualifier
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Umeå University, Faculty of Science and Technology, Department of Computing Science.
2015 (English)In: The 6th International Conference on Ambient Systems, Networks and Technologies (ANT-2015), the 5th International Conference on Sustainable Energy Information Technology (SEIT-2015) / [ed] Elhadi Shakshuki, Elsevier, 2015, Vol. 52, 420-427 p.Conference paper, Published paper (Refereed)
Abstract [en]

The International Classification of Functioning, Disability and Health (ICF) defines Functioning and Disability as the results of the interaction between the health conditions of a person and his/her environment. It considers a set of components and qualifiers to evaluate activity and participation. In this paper, we interpret a performance quantifier under a human activity recognition process. To this end, we introduce a novel definition of an activity which is based on ICF guidelines. This definition gives place to a probabilistic non-monotonic activity qualifier. In order to recognize an activity according to our novel activity's definition, we explore non-monotonic reasoning technics to capture domain knowledge in terms of action specification languages. By considering an action specification language, called CTAID, and Answer Set Programming, we propose and develop a system called ActRec system which takes background information into consideration and recognize activities according to our suggested definition. Moreover, we show that by aggregating our probabilistic non-monotonic activity qualifier, we are able of detecting complex activities, e.g., long-term activities. We illustrate our approach in the context of an ambient assisted living environment called As-A-Pal.

Place, publisher, year, edition, pages
Elsevier, 2015. Vol. 52, 420-427 p.
Series
Procedia Computer Science, ISSN 1877-0509 ; 52
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:umu:diva-101444DOI: 10.1016/j.procs.2015.05.007ISI: 000361567100051OAI: oai:DiVA.org:umu-101444DiVA: diva2:799240
Conference
6th International Conference on Ambient Systems, Networks and Technologies (ANT-2015
Available from: 2015-03-30 Created: 2015-03-30 Last updated: 2015-10-16Bibliographically approved

Open Access in DiVA

fulltext(1263 kB)77 downloads
File information
File name FULLTEXT01.pdfFile size 1263 kBChecksum SHA-512
9a5a6021c8770eb6dfd5a16e20744e2c90ab0ac33f94c0e16ae4003b7396e6461d7f00af962a76dd77146796f48db882704acdba1a5b77c7a991fd8b63ee2b1c
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Search in DiVA

By author/editor
Nieves, Juan CarlosPartonia, SaeedGuerrero, EstebanLindgren, Helena
By organisation
Department of Computing Science
Computer Systems

Search outside of DiVA

GoogleGoogle Scholar
Total: 77 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 514 hits
CiteExportLink to record
Permanent link

Direct link
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