3 Statistical Recognition Using Local Eigen
نویسندگان
چکیده
The recognition of human gesture is a challenging problem that can contribute to a natural man{machine interface. In this paper, we present an alternative technique for gesture recognition. Gestures are modeled as temporal trajectories of measurements. Local sub sequences of these trajectories are extracted and used to deene an orthogonal space using principal components analysis. In this space the probabilistic density function of the training trajectories is represented by a multi{dimensional histogram, which builds the basis for the recognition. Experiments on three diierent recognition problems show the general utility of the approach.
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