Assessing the Stability of Human Gait Based on a Human Electrostatic Field Detection System
Author:
Affiliation:
1. School of Mechanical and Electrical Engineering, Beijing Institute of Technology, Beijing, China
2. Zhongshan People’s Hospital, Zhongshan, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/7361/10487994/10458920.pdf?arnumber=10458920
Reference44 articles.
1. Recent Advances in Quantitative Gait Analysis Using Wearable Sensors: A Review
2. Spatiotemporal Analysis by Deep Learning of Gait Signatures From Floor Sensors
3. The Primary Gait Screen in Parkinson’s disease: Comparison to standardized measures
4. Design of a Machine Learning-Assisted Wearable Accelerometer-Based Automated System for Studying the Effect of Dopaminergic Medicine on Gait Characteristics of Parkinson’s Patients
5. Online Gait Transitions and Disturbance Recovery for Legged Robots via the Feasible Impulse Set
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1. Adaptive Detection in Real-Time Gait Analysis through the Dynamic Gait Event Identifier;Bioengineering;2024-08-08
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