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In this paper, we propose a novel method for recognition of human actions from joint points. Our approach utilizes Long Short Term Memory (LSTM), a Recurrent Neural Network (RNN) variant to keep track of and train the network on joint information across an ordered sample of 15 frames from a video. We ensure that important properties of actions like left right invariance are learnt by the system through...
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