An approach for the creation of accessible and shared datasets

  • Authors:
  • Heather McDonald;Chris D. Nugent;Josef Hallberg;Dewar Finlay;George Moore

  • Affiliations:
  • School of Computing and Mathematics, University of Ulster, Jordanstown, Northern Ireland;School of Computing and Mathematics, University of Ulster, Jordanstown, Northern Ireland, Department of Computer Science, Electrical and Space Engineering, Luleå University of Technology, Swe ...;Department of Computer Science, Electrical and Space Engineering, Luleå University of Technology, Sweden;School of Computing and Mathematics, University of Ulster, Jordanstown, Northern Ireland;School of Computing and Mathematics, University of Ulster, Jordanstown, Northern Ireland

  • Venue:
  • UCAmI'12 Proceedings of the 6th international conference on Ubiquitous Computing and Ambient Intelligence
  • Year:
  • 2012

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Abstract

Due to the change in global demographics, a significant amount of research is being directed towards developing solutions to monitor and support the ageing as they perform activities of daily living. Research in this area is, however, being limited by the lack of shareable datasets available to support the development and evaluation of data driven activity recognition models. In our current work we have developed a suite of resources in an attempt to establish an openly available data repository where all datasets share a common format for the purposes of data storage. Within this paper the homeML Toolkit and the homeML Repository are presented. Results from a usability study of interactions with the toolkit, conducted by five computer science researchers are presented; the initial findings of which have been encouraging.