Yong-Hong Xu

RTGNet: A Dual-Branch Network Integrating Recurrent Texture and Temporal Dynamics from sEMG for Lower-Limb Joint Angle Prediction

RTGNet is proposed, a dual-branch deep learning framework for lower-limb joint-angle prediction from multichannel sEMG that outperforms temporal-only and RP-based baselines, and ablation results further support the effectiveness of the gated fusion strategy and CBAM attention.