Gathering Datasets for Activity Identification

Lorcan Coyle, Juan Ye, Susan McKeever, Stephen Knox, Mathew Staelber, Simon Dobson, Paddy Nixon

Research output: Contribution to conferencePaperpeer-review

Abstract

The area of activity identification is maturing well in the HCI and ubiquitous computing fields. However, although algorithm development is proceedings well, without publicly available datasets on which to compare results it is difficult to consolidate the disparate work being done. This problem exists because realistic datasets describing human activity are difficult and expensive to gather and because there are significant barriers to releasing the data once gathered. We review positive recent development with the release of two high-quality datasets. From our experiences using these datasets we list some recommendations for the gathering and release of future datasets. Finally, we propose a strategy of our own for gathering a new dataset from these recommendations.
Original languageEnglish
DOIs
Publication statusPublished - 2009
EventCHI 2009 - Boston, United States
Duration: 4 Apr 20099 Apr 2009

Conference

ConferenceCHI 2009
Country/TerritoryUnited States
CityBoston
Period4/04/099/04/09

Keywords

  • activity identification
  • HCI
  • ubiquitous computing
  • algorithm development
  • datasets
  • human activity
  • data release
  • recommendations
  • strategy

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