Gesture Recognition on GrabMyo (cross-subject) benchmark leaderboard · SOTA2 Research

Gesture Recognition on GrabMyo (cross-subject)

54.31AccuracySASG-DA

Evaluation Results

Method	Links
SASG-DA2025.11		54.31
SASG-DA2025.11		53.53
Minority2025.11		52.65
CADS2025.11		52.64
CADS2025.11		52.5
Mixup2025.11		52.05
Minority2025.11		52.01
PatchEMG2025.11		51.41
Mixup2025.11		51
Jittering & Scaling2025.11		50.07
SASG-DA2025.11		50.06
PatchEMG2025.11		50.01
Jittering & Scaling2025.11		49.66
Upsample2025.11		49.23
RIM2025.11		49.18
Baseline2025.11		49.09
Upsample2025.11		48.93
CADS2025.11		48.87
FreqMask2025.11		48.79
NTD2025.11		48.77
Mixup2025.11		48.68
NTD2025.11		48.67
PatchEMG2025.11		48.63
Baseline2025.11		48.5
RIM2025.11		48.48
FreqMix2025.11		48.35
FreqMask2025.11		48.23
Minority2025.11		48.12
NTD2025.11		48.05
FreqMix2025.11		48.04
DiffMix2025.11		47.87
Dominant Shuffle2025.11		47.68
Jittering & Scaling2025.11		47.54
Dominant Shuffle2025.11		47.52
DESAM2025.11		47.38
Baseline2025.11		47.27
FreqMix2025.11		47.1
DiffMix2025.11		46.76
RIM2025.11		46.59
Upsample2025.11		46.51
FreqMask2025.11		46.26
Dominant Shuffle2025.11		45.99
DiffMix2025.11		45.77
DESAM2025.11		44.66
DESAM2025.11		44.33