Feature representations for the recognition of 3D emblematic gestures

  • Authors:
  • Jan Richarz;Gernot A. Fink

  • Affiliations:
  • Intelligent Systems Group, Robotics Research Institute, TU Dortmund University, Dortmund, Germany;Intelligent Systems Group, Robotics Research Institute, TU Dortmund University, Dortmund, Germany

  • Venue:
  • HBU'10 Proceedings of the First international conference on Human behavior understanding
  • Year:
  • 2010

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Abstract

In human-machine interaction, gestures play an important role as input modality for natural and intuitive interfaces. The class of gestures often called "emblems" is of special interest since they convey a well-defined meaning in an intuitive way. We present an approach for the visual recognition of 3D dynamic emblematic gestures in a smart room scenario using a HMM-based recognition framework. In particular, we assess the suitability of several feature representations calculated from a gesture trajectory in a detailed experimental evaluation on realistic data.