Gait Prediction for Rehabilitation Robots Based on Deep Learning-Reference-Cited by-同舟云学术

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Gait Prediction for Rehabilitation Robots Based on Deep Learning

Published:2022-12-17 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Advanced Mechatronic Systems (ICAMechS)
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Author:

Ren Jiale¹,Wang Aihui¹,Ma Zhengxiang²,Duan Huichao¹,Li Hengyi³,Xin Xiufen¹,Song Lulu¹

Affiliation:

1. Zhongyuan University of Technology,School of Electric and Information Engineering,Zhengzhou, 450007,China

2. Zhengzhou University of Aeronautics,School of Electric and Information Engineering,Zhengzhou, 450046,China

3. Ritsumeikan University,Graduate School of Science and Engineering,Kusatsu,Shiga 525-8577,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10003264/10003221/10003463.pdf?arnumber=10003463

Reference21 articles.

1. Brain–Machine Interface and Visual Compressive Sensing-Based Teleoperation Control of an Exoskeleton Robot

2. Spatio–Spectral Representation Learning for Electroencephalographic Gait-Pattern Classification

3. Admittance Control of Powered Exoskeletons Based on Joint Torque Estimation

4. Gait-Event-Based human intention recognition approach for lower limb

5. Enhanced mechanisms of pooling and channel attention for deep learning feature maps

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. Personalized Gait Generation Using Convolutional Neural Network for Lower Limb Rehabilitation Robots;2024 IEEE International Conference on Real-time Computing and Robotics (RCAR);2024-06-24

2. Individual Gait Generation for Rehabilitation Robots Based on GLS network;2023 International Conference on Advanced Mechatronic Systems (ICAMechS);2023-09-04

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