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Action and gesture recognition from motion capture and RGB-D camera sequences has recently emerged as a renowned and challenging research topic. The current methods can usually be applied only to small datasets with a dozen or so different actions, and the systems often require large amounts of time to train the models and to classify new sequences. In this paper, we first extract simple but effective...
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