Zidong Yu

About

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Research Focus

Key Achievements

Top Papers

1. 1
   An end-to-end lower limb activity recognition framework based on sEMG data augmentation and enhanced CapsNet

   22 citations · 2023
2. 2
   Interpretable Dual-branch EMGNet: A transfer learning-based network for inter-subject lower limb motion intention recognition

   19 citations · 2023
3. 3
   Exploration of deep learning-driven multimodal information fusion frameworks and their application in lower limb motion recognition

   18 citations · 2024
4. 4
   Decoding of lower limb continuous movement intention from multi-channel sEMG and design of adaptive exoskeleton controller

   12 citations · 2024
5. 5
   Temporal-constrained parallel graph neural networks for recognizing motion patterns and gait phases in class-imbalanced scenarios

   6 citations · 2025
6. 6
   Lower limb Locomotion Mode Recognition based on sEMG: A pilot study in healthy individuals and stroke patients

   1 citations · 2025

Key Collaborators