Predicting Sagittal-Plane Swing Hip Kinematics in Response to Trips
Author:
Affiliation:
1. Department of Mechanical Engineering
2. Department of Electrical Engineering and Computer Science
3. University of Michigan,Department of Naval Architecture and Marine Engineering,Ann Arbor,MI,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9925247/9925241/09925354.pdf?arnumber=9925354
Reference23 articles.
1. Estimating Lower Extremity Running Gait Kinematics with a Single Accelerometer: A Deep Learning Approach
2. Prediction of gait trajectories based on the Long Short Term Memory neural networks
3. A controller for walking derived from how humans recover from perturbations
4. A comparison between virtual constraint-based and model predictive-based limit cycle walking control in successful trip recovery;miripour fard;J Mechan Eng Autom,2020
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