An action-level gesture recognition method based on sEMG and channel-recalibrated multiscale temporal features
Gesture recognition based on surface electromyography (sEMG) signals is a key technology for wearable human-computer interaction and intelligent assistive systems. However, achieving robust gesture recognition remains challenging due to the limited temporal resolution associated with low sampling rates and the signific...