STEP: Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits

national conference on artificial intelligence, pp. 1342-1350, 2020.

Cited by: 0|Bibtex|Views65|DOI:https://doi.org/10.1609/AAAI.V34I02.5490
Other Links: academic.microsoft.com|arxiv.org

Abstract:

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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