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A new gait recognition system called SKDMap-Net identifies people from walking video without a clear face view. The model achieved 95.8% accuracy on one major gait dataset and 83.7% Rank-1 accuracy on a harder real-world dataset. It tracks body movement patterns like joint rotation and stride timing.
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