BlobSnake: gamification of feature extraction for 'plug and play' human activity recognition

Reuben Kirkham, Carlton Shepherd, Thomas Plötz

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Abstract

We present BlobSnake, a casual game designed to help generate new feature representations in the context of Human Activity Recognition. Feature selection is an essential task to be completed in the context of developing any non-trivial activity recognition system for a new set of activities. Presently, using anything other than a set of standard features requires a considerable amount of effort to be expended upon expert driven algorithm development. BlobSnake is an alternative approach which uses direct interaction with real sensor data by non-experts in order to develop additional features, thus lowering the cost and expertise otherwise required to produce more effective recognition performance. Our experiments demonstrate that our method improves upon the state of the art performance of standard features in a challenging recognition scenario.

Original languageEnglish
Title of host publicationProceedings of the British HCI Conference 2015
EditorsPatrick Olivier, Derek Foster
Place of PublicationNew York NY USA
PublisherAssociation for Computing Machinery (ACM)
Pages74-81
Number of pages8
ISBN (Electronic)9781450336437
DOIs
Publication statusPublished - 2015
Externally publishedYes
EventBritish Computer Society Conference on Human-Computer Interaction 2015 - Lincoln, United Kingdom
Duration: 13 Jul 201517 Jul 2015
https://british-hci2015.org/

Conference

ConferenceBritish Computer Society Conference on Human-Computer Interaction 2015
Abbreviated titleHCI 2015
CountryUnited Kingdom
CityLincoln
Period13/07/1517/07/15
Internet address

Keywords

  • Crowdsourcing
  • Gameification
  • Human Activity Recognition
  • Machine Learning

Cite this