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ICMCS
2008
IEEE

Hand trajectory based gesture recognition using self-organizing feature maps and markov models

8 years 9 months ago
Hand trajectory based gesture recognition using self-organizing feature maps and markov models
This work presents the design and experimental verification of an original system architecture aiming at recognizing gestures based solely on the hand trajectory. Self organizing feature maps are used to model spatial information while Markov models encode the temporal aspect of hand position within a trajectory. A validated classification mechanism is produced through a set of models and a committee machine setup ensures robustness as indicated by the experimental results performed.
George Caridakis, Kostas Karpouzis, Christos Pater
Added 30 May 2010
Updated 30 May 2010
Type Conference
Year 2008
Where ICMCS
Authors George Caridakis, Kostas Karpouzis, Christos Pateritsas, Athanasios I. Drosopoulos, Andreas Stafylopatis, Stefanos D. Kollias
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