Skeleton-based human action recognition utilizes the coordinates of human body joints (extracted via sensors like Microsoft Kinect or pose estimation algorithms like OpenPose) to classify human actions. This domain gained significant traction around 2021 due to the robustness of skeletal data against background clutter and lighting variations compared to RGB video.
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