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Updated: Jul 5, 2025

Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder
Published on: March 4, 2018
Variable Pivot Gait Based a Novel Dynamics Correction Method for Human Lower Limbs Model
Cunjin Ai1, Jun Wei2, Jianjun Zhang2
1School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China; School of Intelligent Manufacturing Engineering, Chongqing University of Arts and Sciences, Chongqing 402160, China; Hebei Province Key Laboratory of Robot Perception and Human-Machine Fusion, Tianjin 300130, China.
This study introduces a variable pivot gait for analyzing lower limb dynamics, addressing limitations in current gait stage redivision. The novel method accurately models and corrects foot dynamics during unipedal stance, improving biomechanical analysis.
Area of Science:
- Biomechanics
- Robotics
- Human Motion Analysis
Background:
- Gait analysis is crucial for understanding lower limb biomechanics.
- Existing gait models often omit crucial phases where both feet are not fully grounded.
Purpose of the Study:
- To propose a novel variable pivot gait model.
- To develop a dynamics correction method for incomplete foot-ground contact phases.
- To enhance the accuracy of lower limb dynamics modeling.
Main Methods:
- Motion capture experiments to record foot-ground relative motion.
- Development of a variable pivot gait model based on pivot transformations.
- Dynamics modeling of human lower limbs using the proposed gait stages.
- Implementation of a dynamics correction method for non-fully-grounded foot phases.
Main Results:
- The variable pivot gait accurately reflects actual foot-ground motion.
- Simulations and experiments validate the proposed gait model.
- The dynamics correction method effectively improves the accuracy of calculated hip, knee, and ankle moments.
Conclusions:
- The variable pivot gait and dynamics correction method offer a more comprehensive approach to lower limb biomechanics.
- This approach enhances the accuracy of dynamics modeling in human lower limbs and lower-limb robots.
- Provides a new framework for analyzing gait dynamics, particularly during transitional stance phases.
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