Human Neuromuscular Control

This project is focused on developing a comprehensive experimental and analytical framework to accurately quantify the dynamic contributions of vision to human postural control. It utilizes a virtual reality-based platform to deliver precisely controlled visual perturbations while restricting participants' body movements exclusively to the ankle joint. By recording and analyzing body motion, ground reaction forces, and muscle activity using system identification methods, the project aims to thoroughly characterize visually evoked postural and neuromuscular responses. 

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This project aims to quantify the individual and interactive contributions of visual and proprioceptive sensory systems to human postural control during upright stance. It utilizes nonlinear system identification and electromyography (EMG) to analyze neuromuscular responses to controlled unilateral, bilateral, and combined sensory perturbations. Ultimately, the research seeks to uncover the dynamic sensory reweighting mechanisms and interlimb reflexes used by the central nervous system, providing a foundation for improved clinical balance assessments and rehabilitation protocols.

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Our main objective for this project is to develop experimental methods to study and identify the dynamics of ankle joint stiffness using parameter-varying methods. We use a nonlinear parameter varying models with parallel-cascade structure to identify ankle dynamics. This model comprises two pathways of representing intrinsic limb stiffness, and modeling stiffness arising from the stretch reflexes. 

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