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Related Experiment Video

Updated: Jun 18, 2026

Lower-Limb Biomechanical Characteristics Associated with Unplanned Gait Termination Under Different Walking Speeds

Lower-Limb Biomechanical Characteristics Associated with Unplanned Gait Termination Under Different Walking Speeds

Published on: August 25, 2020

Patient-specific walking pattern simulation in a gait trajectory guiding device.

Muhammad Kamrul Hasan¹, Jang-Ho Park, Seung-Hun Park

¹U-Health Lab, Department of Biomedical Engineering, Kyung Hee University, South Korea.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|December 8, 2009

Summary

This summary is machine-generated.

This study developed an automated gait rehabilitation device that mimics natural walking patterns. The system adapts to patient-specific trajectories and uses iterative learning control for improved gait recovery.

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Area of Science:

Biomechanics
Robotics
Rehabilitation Engineering

Background:

Task-specific repetitive training is crucial for gait rehabilitation.
Automated gait trajectory guiding devices with partial body weight support offer a promising solution.

Purpose of the Study:

To implement natural walking pattern motion in automated foot-boards of a gait trajectory guiding device.
To develop a motion algorithm for patient-specific gait rehabilitation.

Main Methods:

Utilized a gait database for kinetic and kinematic analysis.
Developed a motion algorithm incorporating patient-specific trajectories, variable velocity patterns, and time-division for gait phases.
Employed iterative learning control with motion sensors for real-time motion correction.

Main Results:

Successfully modeled human walking data for motion algorithm implementation.
Defined precise velocity patterns and time-division for different walking phases.
Enabled recording of patient biofeedback and postural stability for adaptive control.

Conclusions:

The developed motion algorithm enables a gait trajectory guiding device to simulate natural walking.
The system facilitates patient-specific gait rehabilitation through adaptive control and iterative learning.
This approach holds potential for enhancing recovery of full-fledged gait ability.