Piecewise Linear Labeling Method for Speed-Adaptability Enhancement in Human Gait Phase Estimation

Author:

Hong Woolim1ORCID,Lee Jinwon2ORCID,Hur Pilwon3ORCID

Affiliation:

1. UNC/NCSU Joint Department of Biomedical Engineering, North Carolina State University, Raleigh, NC, USA

2. Department of Industrial and Management Engineering, Gangneung-Wonju National University, Wonju, South Korea

3. School of Mechanical Engineering, Gwangju Institute of Science and Technology, Gwangju, South Korea

Funder

Basic Science Research Program through the National Research Foundation of Korea

Ministry of Education

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

Reference34 articles.

Cited by 6 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. IMU-Based Real-Time Estimation of Gait Phase Using Multi-Resolution Neural Networks;Sensors;2024-04-09

2. Comprehensive Performance Analysis of Machine Learning Models in Fall Detection Using Gait Data;2023 IEEE 9th International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE);2023-11-25

3. Towards Realistic Prosthetic Gait Simulations: Enhancing the Accuracy of OpenSim Analysis by Integrating the Transfemoral Prosthesis Model;2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN);2023-08-28

4. A Feasibility Study of Piecewise Phase Variable Based on Variable Toe-Off for the Powered Prosthesis Control: A Case Study;IEEE Robotics and Automation Letters;2023-05

5. Cross-Platform Gait Analysis and Fall Detection Wearable Device;Applied Sciences;2023-03-04

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