Predicting Sagittal-Plane Swing Hip Kinematics in Response to Trips-Reference-Cited by-同舟云学术

Predicting Sagittal-Plane Swing Hip Kinematics in Response to Trips

Published:2022-07 Issue:3 Volume:7 Page:7542-7549
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Danforth Shannon M.¹^ORCID,Liu Xinyi²^ORCID,Ward Martin J.³^ORCID,Holmes Patrick D.¹^ORCID,Vasudevan Ram¹^ORCID

Affiliation:

1. Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA

2. Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA

3. Department of Naval Architecture and Marine Engineering, University of Michigan, Ann Arbor, MI, USA

Funder

National Science Foundation

Office of Naval Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

https://ieeexplore.ieee.org/ielam/7083369/9750005/9799740-aam.pdf

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;fard;J Mechan Eng Autom,2020

5. Nexus,0

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