Gesture recognition in flow based on PCA and using multiagent system

  • Authors:
  • Ronan Billon;Alexis Nédélec;Jacques Tisseau

  • Affiliations:
  • CERV (Centre Européen de Réalité Virtuelle);CERV (Centre Européen de Réalité Virtuelle);CERV (Centre Européen de Réalité Virtuelle)

  • Venue:
  • Proceedings of the 2008 ACM symposium on Virtual reality software and technology
  • Year:
  • 2008

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Abstract

In our context of Virtual Theater, a virtual actor performs with a real actor. They communicate through movements and choreography. The system has to interpret the real actor's gesture into a symbolic representation. Therefore, we present a method for real-time recognition. We use properties from Principal Component Analysis (PCA) to create signature for each gesture and a multiagent system to perform the recognition.