ReactEMG is a low-latency, high-accuracy model that predicts hand gestures from forearm EMG signals at every timestep. Its masked-segmentation architecture jointly learns EMG features and user intent, enabling zero-shot generalization without subject-specific calibration and making it well-suited for robotic control.
☆13Aug 25, 2026Updated 2 months ago
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