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The dataset was reprocessed by the authors based on portions of the Le2i and SisFall datasets. Video clips of ADL and fall actions were converted into images using the OpenCV library, after which a human segmentation neural network was applied to obtain images containing only the human foreground, followed by binarization and morphological erosion and dilation processing. The dataset is divided into two parts, each comprising five categories: Blank (no person), Fall, Like‑fall (unstable balance), Lie, and Stand.
