Modeling and Assessing Hip-Knee Joint Coordination Based on Cyclograms Using a Portable Motion Capture System-Reference-Cited by-同舟云学术

Modeling and Assessing Hip-Knee Joint Coordination Based on Cyclograms Using a Portable Motion Capture System

Published:2024-02 Issue:1 Volume:6 Page:245-256
ISSN:2576-3202
Container-title:IEEE Transactions on Medical Robotics and Bionics
language:
Short-container-title:IEEE Trans. Med. Robot. Bionics

Author:

Xu Ningcun¹,Wang Chen²^ORCID,Peng Liang²^ORCID,Peng Xiwei³,Hou Zeng-Guang¹^ORCID,Zhang Pu⁴^ORCID,He Zejia⁴,Chen Jingyao¹^ORCID

Affiliation:

1. Faculty of Innovation Engineering, CAS-MUST Joint Laboratory of Intelligence Science and Technology, Macau University of Science and Technology, Macau, China

2. School of Automation, Beijing Institute of Technology, Beijing, China

3. School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China

4. China Rehabilitation Research Center, Beijing Bo’ai Hospital, Beijing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Beijing Natural Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Human-Computer Interaction,Biomedical Engineering

Link

http://xplorestaging.ieee.org/ielx7/8253409/10416934/10333086.pdf?arnumber=10333086

Reference39 articles.

1. Human Gait Analysis in Neurodegenerative Diseases: A Review

2. Assessment of Gait Characteristics in Total Knee Arthroplasty Patients Using a Hierarchical Partial Least Squares Method

3. User-Adaptive Assistance of Assistive Knee Braces for Gait Rehabilitation

4. A Review in Detection and Monitoring Gait Disorders Using In-Shoe Plantar Measurement Systems

5. Deep Learning for Fall Risk Assessment With Inertial Sensors: Utilizing Domain Knowledge in Spatio-Temporal Gait Parameters

Cited by 1 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. A Lightweight Motion Function Analysis System based on Binocular Vision;2024 IEEE International Conference on Real-time Computing and Robotics (RCAR);2024-06-24