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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)
Many visual inspection systems have been developed and applied into real production lines and proved their effectiveness. But most of the cases were the 2-D Vision systems. In many cases, the 3-D vision systems for industria! applications employ sophisticated optical systems and require precise calibrations by experts. It is specially designed for every(More)
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