AI RESEARCH
Cross-subject Muscle Fatigue Detection via Adversarial and Supervised Contrastive Learning with Inception-Attention Network
arXiv CS.LG
•
ArXi:2604.02670v1 Announce Type: new Muscle fatigue detection plays an important role in physical rehabilitation. Previous researches have nstrated that sEMG offers superior sensitivity in detecting muscle fatigue compared to other biological signals. However, features extracted from sEMG may vary during dynamic contractions and across different subjects, which causes unstability in fatigue detection.