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A model of task-level human stepping regulation yields semistable walking
Navendu S Patil1,2, Jonathan B Dingwell1, Joseph P Cusumano2
1Department of Kinesiology, Pennsylvania State University, University Park, PA 16802, USA.
Biorxiv : the Preprint Server for Biology
|July 9, 2024
Summary
This study explores how motor control influences sideways stepping in a dynamic walker. It reveals that goal-directed regulation creates stable walking patterns, even with perturbations.
Area of Science:
- Biomechanics
- Robotics
- Neuroscience
Background:
- Understanding how motor control affects gait stability is crucial for developing advanced prosthetics and understanding human locomotion.
- Previous models often simplify the complex interplay between mechanical constraints and motor regulation in sideways stepping.
Purpose of the Study:
- To investigate the impact of motor regulation on frontal plane stepping dynamics in a simplified lateral walker.
- To integrate mechanical principles of walking with a validated model of human motor control for foot placement.
Main Methods:
- A lateral dynamic walker model with swing leg dynamics and adjustable parameters was employed.
- Task-level multiobjective regulation was imposed, prioritizing step width and lateral body position.
- The model combined a lateral mechanical template with a lateral motor regulation template.
Main Results:
- The integrated model successfully replicated experimentally observed stepping fluctuation statistics.
- Task-level regulation generated a goal-equivalent manifold in the system's state space.
- A continuum of period-1 gaits was identified as a semistable set, demonstrating resilience to perturbations.
Conclusions:
- Motor regulation plays a key role in achieving stable frontal plane stepping.
- Linear empirical models of stepping dynamics can emerge from underlying nonlinear mechanics.
- The concept of a semistable gait set offers new insights into locomotion adaptability.
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