| Gesture recognition in flow based on PCA analysis using multiagent system |
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ACM International Conference Proceeding Series; Vol. 352
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Proceedings of the 2008 International Conference on Advances in Computer Entertainment Technology
table of contents
Yokohama, Japan
SESSION: Technical track: Interface
table of contents
Pages: 139-146
Year of Publication: 2008
ISBN:978-1-60558-393-8
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Authors
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Ronan Billon
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Centre Européen de Réalité, Virtuelle, Plouzané, France
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Alexis Nédélec
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Centre Européen de Réalité, Virtuelle, Plouzané, France
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Jacques Tisseau
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Centre Européen de Réalité, Virtuelle, Plouzané, France
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ABSTRACT
Our context is Virtual Theater. Our aim is to put on a short play featuring a real actor and a virtual actor, who will communicate through movements and choreography with mutual synchronization. We currently work on a system that can recognize key-gestures made by a real actor. In this paper, we cover a method for real-time recognition. Our idea is that the data for movements from any motion-capture system can be reduced to a single artificial signature. We use properties from Principal Component Analysis (PCA) to generate it. This artificial gesture representation is used in real-time by our multiagent systems to simultaneously perform segmentation (gesture's beginning and end) and recognition. We conducted various experiments which demonstrate our system and define its limitations.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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