Real-Time Neural Network-Based Gait Phase Estimation Using a Robotic Hip Exoskeleton-Reference-Cited by-同舟云学术

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Real-Time Neural Network-Based Gait Phase Estimation Using a Robotic Hip Exoskeleton

Published:2020-02 Issue:1 Volume:2 Page:28-37
ISSN:2576-3202
Container-title:IEEE Transactions on Medical Robotics and Bionics
language:
Short-container-title:IEEE Trans. Med. Robot. Bionics

Author:

Kang Inseung^ORCID,Kunapuli Pratik^ORCID,Young Aaron J.^ORCID

Funder

Georgia Tech Research Institute IRAD Funding

Institute of Robotics and Intelligent Machines Seed Grant at Georgia Tech

NSF NRI

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Medicine

Link

https://ieeexplore.ieee.org/ielam/8253409/9007555/8941004-aam.pdf

Cited by 102 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. iP3T: an interpretable multimodal time-series model for enhanced gait phase prediction in wearable exoskeletons;Frontiers in Neuroscience;2024-09-04

2. 3D-Printed Piezoelectric PLA-Based Insole for Event Detection in Gait Analysis;IEEE Sensors Journal;2024-08-15

3. Improving Task-Agnostic Energy Shaping Control of Powered Exoskeletons With Task/Gait Classification;IEEE Robotics and Automation Letters;2024-08

4. A Kinematically Informed Approach to Near-Future Joint Angle Estimation at the Ankle;IEEE Transactions on Medical Robotics and Bionics;2024-08

5. Wearable Continuous Gait Phase Estimation During Walking, Running, Turning, Stairs, and Over Uneven Terrain;IEEE Transactions on Medical Robotics and Bionics;2024-08

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