EMG Pattern Recognition: A Systematic Review
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-13150-9_10
Reference33 articles.
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3. Wu, C., et al.: sEMG measurement position and feature optimization strategy for gesture recognition based on ANOVA and neural networks. IEEE Access 8, 56290–56299 (2020)
4. Cao, L., Zhang, W., Kan, X., Yao, W.: A novel adaptive mutation PSO optimized SVM algorithm for sEMG-based gesture recognition. Sci. Program. 2021, 1–13 (2021). https://doi.org/10.1155/2021/9988823
5. Li, Q., Zhang, A., Li, Z., Yan, W.: Improvement of EMG pattern recognition model performance in repeated uses by combining feature selection and incremental transfer learning. Front. Neurorobotics 15, 87 (2021). https://doi.org/10.3389/fnbot.2021.699174
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