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This paper proposes a Jordan recurrent neural network (JRNN) based dynamic hand gesture recognition system. A set of allowed gestures is modeled by a sequence of representative static images, i.e., postures. The proposed system first classifies the input postures contained in the input video frames, and the JRNN finds the input gesture by detecting the(More)
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