In this paper, we proposed an effective method which can recognize dynamic handgesture by analyzing the information of motion trajectory captured by leap motion in three-dimension space. A simple gesture spotting is ...
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In this paper, we proposed an effective method which can recognize dynamic handgesture by analyzing the information of motion trajectory captured by leap motion in three-dimension space. A simple gesture spotting is tried. And the orientation characteristics are quantified and coded as the feature after pre-processing the data. Then an improveddiscrete HMM algorithm is utilized to model and classify *** results on a self-built database of dynamic handgestures(numbers 0-9) demonstrate the effectiveness of the proposed method.
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