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A unified deep learning framework for intelligent human activity recognition
A unified deep learning framework for intelligent human activity recognition employs a 3D-CNN-based architecture that learns spatiotemporal features directly from raw input data and classifies various human activities within a single, end-to-end model. By integrating feature extraction and prediction into a single unified pipeline, the ...
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