Abstract: Human Action Recognition (HAR) based on skeleton sequences has attracted much attention due to the robustness and background insensitivity of skeletal data. The convolutional neural network ...
Abstract: In resource-constrained environments, efficient feature extraction is crucial for applications in classification and prediction tasks. This study investigates a fast, DFT-based, ...
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