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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. · 0 citations

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