Lower-Limb Joint Torque Prediction Using LSTM Neural Networks and Transfer Learning
Author:
Affiliation:
1. Department of Engineering Mechanics, KTH MoveAbility Laboratory, KTH BioMEx Center, KTH Royal Institute of Technology, Stockholm, Sweden
Funder
Promobilia Foundation
Swedish Research Council
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation
Link
http://xplorestaging.ieee.org/ielx7/7333/9695946/09727104.pdf?arnumber=9727104
Reference48 articles.
1. Intelligent Prediction of Human Lower Extremity Joint Moment: An Artificial Neural Network Approach
2. Subject-specific calibration of neuromuscular parameters enables neuromusculoskeletal models to estimate physiologically plausible hip joint contact forces in healthy adults
3. Dropout: A simple way to prevent neural networks from overfitting;srivastava;J Mach Learn Res,2014
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