On the robustness of EMG features for pattern recognition based myoelectric control; A multi-dataset comparison
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/6923026/6943513/06943675.pdf?arnumber=6943675
Cited by 24 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. Understanding the influence of confounding factors in myoelectric control for discrete gesture recognition;Journal of Neural Engineering;2024-05-17
2. Robust myoelectric pattern recognition methods for reducing users’ calibration burden: challenges and future;Frontiers in Bioengineering and Biotechnology;2024-01-22
3. Big Data and Reinforcement Learning, Emg Clustering;2023 6th International Conference on Contemporary Computing and Informatics (IC3I);2023-09-14
4. sEMG-Based Gesture Recognition Using Temporal History;IEEE Transactions on Biomedical Engineering;2023-09
5. Improving the Hand Movement Classification Accuracy through EMG based on Histogram Feature Enhancement from Time Domain Representation;2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT);2023-04-05
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