Supervised Machine Learning Applied to Non-Invasive EMG Signal Classification for an Anthropomorphic Robotic Hand
Author:
Affiliation:
1. Polytechnic University, ESPOL,FIMCP,Guayaquil,Ecuador
2. Polytechnic University, ESPOL,FIMCP LNB Lab,Guayaquil,Ecuador
3. Polytechnic University, ESPOL,FIEC,Guayaquil,Ecuador
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9989530/9989521/09989874.pdf?arnumber=9989874
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3. Research on Mechanism Design and Gesture Recognition Application of High Biomimetic Anthropomorphic Robotic Hand
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Cited by 2 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. Impact of EMG Signal Filters on Machine Learning Model Training: A Comparison with Clustering on Raw Signal;Communications in Computer and Information Science;2024
2. Myo Transformer Signal Classification for an Anthropomorphic Robotic Hand;Prosthesis;2023-11-28
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