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ResearchFormerly WizWand

Gesture Recognition on Ninapro DB7

79.78AccuracyEMGFlow
72.780874.597976.41578.2321Apr 15, 2026
Updated 6mo ago

Evaluation results

MethodLinks
EMGFlowBackbone=WaveFormer2026.0479.7879.980.22
DDPMBackbone=WaveFormer2026.0479.7779.8480.22
DDIMBackbone=WaveFormer2026.0479.6679.8280.1
WGAN-GPBackbone=WaveFormer2026.0478.7678.8479.09
MixupBackbone=WaveFormer2026.0478.7578.8379.14
UpsampleBackbone=WaveFormer2026.0478.5578.6478.96
EMGFlowBackbone=EMGHandNet2026.0478.2678.4978.68
PatchEMGBackbone=WaveFormer2026.0478.1778.1878.47
DDPMBackbone=EMGHandNet2026.0477.7377.8678.16
DDIMBackbone=EMGHandNet2026.0477.4177.6977.82
ReplicateBackbone=WaveFormer2026.0477.0877.1477.37
Freq-MixBackbone=WaveFormer2026.0476.8276.9877.23
STAugBackbone=WaveFormer2026.0476.5176.5376.77
BaselineBackbone=WaveFormer2026.0476.3676.3976.62
Freq-MaskBackbone=WaveFormer2026.0476.1776.2276.53
WGAN-GPBackbone=EMGHandNet2026.0476.0476.1776.29
MixupBackbone=EMGHandNet2026.0475.6675.6875.92
ReplicateBackbone=EMGHandNet2026.0474.8474.9575.21
Freq-MixBackbone=EMGHandNet2026.0474.7774.8175.05
UpsampleBackbone=EMGHandNet2026.0474.674.6374.94
Freq-MaskBackbone=EMGHandNet2026.0474.4274.5174.7
Jitter&ScaleBackbone=WaveFormer2026.0474.2474.3274.66
PatchEMGBackbone=EMGHandNet2026.0473.7873.9374.2
STAugBackbone=EMGHandNet2026.0473.5973.5473.85
Jitter&ScaleBackbone=EMGHandNet2026.0473.3773.4673.64
BaselineBackbone=EMGHandNet2026.0473.0573.0873.38