Multi Model Fusion Based Prediction of Human Joint Angles Using sEMG and Historical Angles
Author:
Affiliation:
1. School of Automation, Nanjing University of Science and Technology,Sino-French International Joint Laboratory of Automatic Control and Signal Processing (LaFCAS),Nanjing,China,210094
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10239690/10239711/10240374.pdf?arnumber=10240374
Reference22 articles.
1. Real-time Knee Joint Angle Estimation Based on Surface Electromyograph and Back Propagation Neural Network
2. Muscle activation based estimation of Knee joint angle using Surface Electromyography Signals
3. Knee Joint Angle Prediction Based on Muscle Synergy Theory and Generalized Regression Neural Network
4. Continuous Estimation of Knee Joint Angle during Squat from sEMG using Artificial Neural Networks
5. CNN-LSTM Network Based Prediction of Human Joint Angles Using Multi-Band SEMG and Historical Angles
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