Utilizing invariant descriptors for finger spelling American sign language using SVM
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part I
Interpreting dynamic meanings by integrating gesture and posture recognition system
ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume Part I
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We have developed a hand gesture recognition system, based on the shape analysis of static gestures, for Human Computer Interaction purposes. Our appearance-based recognition uses modified Fourier descriptors for the classification of hand shapes. As always found in literature, such recognition systems consist of two phases: training and recognition. In our new practicalapproach, following the chosen appearance-based model, training and recognition is done in an interactive supervised way: the adaptation for untrained gestures is also solved by hand signals. Our experimental results with three different users are reported. In this paper, besides describing the recognition itself, we demonstrate our interactive training method in a practicalapplication.