[Cluster-guided adaptive Transformer for muscle fatigue prediction]

Bo Fan1,2, Xueliang Bao1,2, Lei Ding3

  • 1School of Information Engineering, Ningxia University, Yinchuan 750021, P. R. China.

Summary

This study introduces a K-means clustering-guided neural architecture search (CG-NAS) for adaptive Transformer models in muscle fatigue monitoring. CG-NAS optimizes Transformer architectures based on surface electromyography (sEMG) signal complexity, improving fatigue prediction accuracy.