STEP: Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits
national conference on artificial intelligence, pp. 1342-1350, 2020.
We present a novel classifier network called STEP, to classify perceived human emotion from gaits, based on a Spatial Temporal Graph Convolutional Network (ST-GCN) architecture. Given an RGB video of an individual walking, our formulation implicitly exploits the gait features to classify the emotional state of the human into one of four...More
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