Source-Validated Personalized Fusion for Calibration-Efficient Static Wrist sEMG Gesture Recognition
This study proposes SVP-Fusion, a source-validated personalized fusion framework for calibration-efficient static wrist-sEMG gesture recognition in unseen participants. Cross-participant surface electromyography (sEMG) gesture recognition remains challenging because population-level models often generalize poorly to ne...