Human Lower Limb Motion Intention Recognition for Exoskeletons: A Review-Reference-Cited by-同舟云学术

Human Lower Limb Motion Intention Recognition for Exoskeletons: A Review

Published:2023-12-15 Issue:24 Volume:23 Page:30007-30036
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Li Ling-Long¹,Cao Guang-Zhong¹^ORCID,Liang Hong-Jie¹,Zhang Yue-Peng¹^ORCID,Cui Fang²

Affiliation:

1. Guangdong Key Laboratory of Electromagnetic Control and Intelligent Robots, College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, China

2. School of Psychology, Shenzhen University, Shenzhen, China

Funder

National Natural Science Foundation of China

Shenzhen Science and Technology Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/10360293/10309911.pdf?arnumber=10309911

Reference285 articles.

1. SA-SVM-Based Locomotion Pattern Recognition for Exoskeleton Robot

2. An EEG-EMG-Based Motor Intention Recognition for Walking Assistive Exoskeletons

3. Survey of On-line Control Strategies of Human-Powered Augmentation Exoskeleton Systems

4. State of the Art and Future Directions for Lower Limb Robotic Exoskeletons

5. Soft Exoskeleton Knee Prototype for Advanced Space Suits and Planetary Exploration

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3. Movement Intent Detection for Upper-Limb Rehabilitation Exoskeleton Based on Series Elastic Actuator as Force Sensor;Actuators;2024-07-27

4. Classification of Gait Phases by Using SVM and ANN Based on EMG Signals;2024 IEEE Symposium on Industrial Electronics & Applications (ISIEA);2024-07-06

5. Hierarchical Trajectory Deformation Algorithm With Hybrid Controller for Active Lower Limb Rehabilitation;IEEE Robotics and Automation Letters;2024-07