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sEMG-based fatigue monitoring on sEMG fatigue monitoring dataset (Cross-MVC + L5SO)

61.15PrecisionFatigueFormer
53.006855.120957.23559.3491Mar 27, 2026

Evaluation results

MethodLinks
FatigueFormerEvaluation Protocol=L5SO (Leave-5-Subjects-Out), Data Setup=Cross-MVC (all levels merged), Metric Aggregation=Mean over all folds2026.0361.1561.0860.41
CLTEvaluation Protocol=L5SO (Leave-5-Subjects-Out), Data Setup=Cross-MVC (all levels merged), Metric Aggregation=Mean over all folds2026.0356.2453.5853.47
AutoIntEvaluation Protocol=L5SO (Leave-5-Subjects-Out), Data Setup=Cross-MVC (all levels merged), Metric Aggregation=Mean over all folds2026.0353.3252.6952.01