RL-Net, a neural rule-list model, reaches about 93% F1 on radar hand gestures after per-user fine-tuning while reducing rule complexity.
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Learning Interpretable Rules from Neural Networks: Neurosymbolic AI for Radar Hand Gesture Recognition
RL-Net, a neural rule-list model, reaches about 93% F1 on radar hand gestures after per-user fine-tuning while reducing rule complexity.