emg2pose introduces the largest public sEMG hand pose dataset, 193 users with motion-capture labels, plus baselines and held-out user/stage generalization tasks.
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emg2pose: A Large and Diverse Benchmark for Surface Electromyographic Hand Pose Estimation
emg2pose introduces the largest public sEMG hand pose dataset, 193 users with motion-capture labels, plus baselines and held-out user/stage generalization tasks.