Neuromuscular Control, Diagnostics and Rehabilitation

Identification of the Sensory Interactions between Vision and Proprioception in Human Balance Control

The main objective of this project is to develop a system identification algorithm to characterize the joint contribution of sensory modalities to human postural control through experimentation, data analysis, model development and simulations.

We use an experimental apparatus which delivers proprioception and visual perturbations using pedals and a virtual reality (VR) system, while recording responses in terms of kinematic and dynamic data as well as muscle activations (EMGs).