Advances and Disturbances in sEMG-Based Intentions and Movements Recognition: A Review
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/9453732/09385096.pdf?arnumber=9385096
Cited by 45 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. MCMP-Net: MLP combining max pooling network for sEMG gesture recognition;Biomedical Signal Processing and Control;2024-04
2. A Novel Approach to Surface EMG-Based Gesture Classification Using a Vision Transformer Integrated With Convolutive Blind Source Separation;IEEE Journal of Biomedical and Health Informatics;2024-01
3. A novel unsupervised dynamic feature domain adaptation strategy for cross-individual myoelectric gesture recognition;Journal of Neural Engineering;2023-12-01
4. DSDAN: Dual-Step Domain Adaptation Network Based on Bidirectional Knowledge Distillation for Cross-User Myoelectric Pattern Recognition;IEEE Sensors Journal;2023-11-01
5. sEMG-Based Small Rotation Invariant Gesture Recognition Using Multivariate Fast Iterative Filtering;IEEE Sensors Letters;2023-11
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