In our work, we implemented one-shot action recognition that using the skeleton data. In terms of data preprocessing, we used the form of mapping skeleton sequence coordinates into signal images. In the feature extraction module, we used feature extraction based on resnet18. In the few-shot learning part, we adopted the metric neural network model based on graph neural network. Finally, the leading accuracy is realized on the ntu-rgbd120 one-shot dataset.
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