Human Gait Cost Function Varies With Walking Speed: An Inverse Optimal Control Study
Author:
Affiliation:
1. Department of Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo, ON, Canada
2. Mechanical Engineering Department, University of Alberta, Edmonton, AB, Canada
Funder
NSERC Discovery
John R. Evans Leaders Fund Canadian Foundation for Innovation
Ontario Research Fund
New Frontiers in Research Fund
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
http://xplorestaging.ieee.org/ielx7/7083369/10153452/10160126.pdf?arnumber=10160126
Reference26 articles.
1. Stance and swing phase costs in human walking
2. Online Reference Trajectory Adaptation: A Personalized Control Strategy for Lower Limb Exoskeletons
3. Natural Walking With Musculoskeletal Models Using Deep Reinforcement Learning
4. Optimality principles for model-based prediction of human gait
5. Physics-Based Simulations to Predict the Differential Effects of Motor Control and Musculoskeletal Deficits on Gait Dysfunction in Cerebral Palsy: A Retrospective Case Study
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. Human–exoskeleton interaction portrait;Journal of NeuroEngineering and Rehabilitation;2024-09-04
2. Emergence of Natural and Robust Bipedal Walking by Learning to Control Up to Ninety Muscles from Biologically Plausible Objectives;2023
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