ChAirGest: a challenge for multimodal mid-air gesture recognition for close HCI

  • Authors:
  • Simon Ruffieux;Denis Lalanne;Elena Mugellini

  • Affiliations:
  • University of Applied Sciences of Western Switzerland, Fribourg, Switzerland;University of Fribourg, Fribourg, Switzerland;University of Applied Sciences of Western Switzerland, Fribourg, Switzerland

  • Venue:
  • Proceedings of the 15th ACM on International conference on multimodal interaction
  • Year:
  • 2013

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Abstract

In this paper, we present a research oriented open challenge focusing on multimodal gesture spotting and recognition from continuous sequences in the context of close human-computer interaction. We contextually outline the added value of the proposed challenge by presenting most recent and popular challenges and corpora available in the field. Then we present the procedures for data collection, corpus creation and the tools that have been developed for participants. Finally we introduce a novel single performance metric that has been developed to quantitatively evaluate the spotting and recognition task with multiple sensors.