Conference
Oct 2026
An action-level gesture recognition method based on sEMG and channel-recalibrated multiscale temporal features
The proposed SE-MSCFormer offers an efficient and robust solution for low-sampling-rate sEMG gesture recognition and confirms that the synergy between the multi-scale temporal configuration and channel recalibration enhances overall recognition performance.
Chao Xian, Lei Liu, Bo Yang et al.
· Conference on Advanced Algor... · 0 citations