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Environment Simulation for the Promotion of the Open Data Initiative
University of Ulster, Jordanstown, North Ireland.
Univ Ulster, Sch Comp & Math, Jordanstown, North Ireland..
Univ Ulster, Sch Comp & Math, Jordanstown, North Ireland..
Univ Ulster, Sch Comp & Math, Jordanstown, North Ireland..
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2016 (English)In: 2016 IEEE INTERNATIONAL CONFERENCE ON SMART COMPUTING (SMARTCOMP), Piscataway, N.J.: IEEE, 2016, p. 246-251Conference paper, Published paper (Refereed)
Abstract [en]

The development, testing and evaluation of novel approaches to Intelligent Environment data processing require access to datasets which are of high quality, validated and annotated. Access to such datasets is limited due to issues including cost, flexibility, practicality, and a lack of a globally standardized data format. These limitations are detrimental to the progress of research. This paper provides an overview of the Open Data Initiative and the use of simulation software (IE Sim) to provide a platform for the objective assessment and comparison of activity recognition solutions. To demonstrate the approach, a dataset was generated and distributed to 3 international research organizations. Results from this study demonstrate that the approach is capable of providing a platform for benchmarking and comparison of novel approaches.

Place, publisher, year, edition, pages
Piscataway, N.J.: IEEE, 2016. p. 246-251
Keywords [en]
simulation, intelligent environments, data sharing, activity recognition, deep learning
National Category
Software Engineering Computer Systems Computer Sciences
Identifiers
URN: urn:nbn:se:hh:diva-35674DOI: 10.1109/SMARTCOMP.2016.7501690ISI: 000390715200019Scopus ID: 2-s2.0-84979520437&ISBN: 978-1-5090-0898-8 (electronic)OAI: oai:DiVA.org:hh-35674DiVA, id: diva2:1162685
Conference
2nd IEEE International Conference on Smart Computing (SMARTCOMP), MAY 18-20, 2016, St Louis, MO
Available from: 2017-12-05 Created: 2017-12-05 Last updated: 2018-01-13Bibliographically approved

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Lundström, Jens

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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