Author

Anyuan Zhang

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Open access Oct 2026

Mutual Information Regularization for Cross-Subject Gesture Recognition Using Surface Electromyography and Acceleration

Feature fusion enables joint classification of surface electromyography (sEMG) and acceleration (ACC) signals, but classification supervision alone does not explicitly optimize statistical dependence between their learned representations. To address this gap, we propose a dual-branch gesture recognition method that com...

An-Yuan Zhang, Hao-Wen Zheng, Yan Wu · Italian National Conference... · 0 citations

Open access Aug 2026

Two-Stage Meta-Learning with Matched Feature Regularization for Cross-Subject sEMG Gesture Recognition Under Posture Variation

Surface electromyography (sEMG)-based gesture recognition has attracted considerable attention in intelligent prosthesis control, human–computer interaction, and rehabilitation assistance. However, practical deployment remains challenging because new users can usually provide only a few labeled samples for calibration....

Qi Li, Ying He, An-Yuan Zhang · Italian National Conference... · 0 citations

Conference Aug 2026

A Multimodal Gesture Recognition Framework Using sEMG and ACC Signals with Cross-Temporal Attention and Mutual Information Regularization

Surface electromyography (sEMG), which reflects temporal muscle activity, has been widely applied in gesture recognition and human-computer interaction. However, single-modal sEMG signals are susceptible to factors such as electrode displacement, inter-subject variability, and noise, which limit recognition performance...

Haowen Zheng, Yan Wu, Anyuan Zhang · 2026 IEEE International Conf... · 0 citations