This project develops an FES muscle model (in collaboration with the Universite de Montpellier II, France) for real-time control in order to predict the outcomes of FES excitations on the paraplegic and hemiplegic patients.
In FES, movement synthesis and control are still challenging tasks due to the complexity of whole body dynamics computation and the nonlinearity of stimulated muscle dynamics. An efficient movement synthesis means that criteria can be defined and evaluated through an accurate numeric simulation. We perform the implementation of muscle model representing the electrically stimulated muscle into the OpenSim framework which has whole body musculoskeletal geometry. We would like to develop the FES simulator using Stanford Operational Space Whole-Body Controller which allows the real-time motion generation with virtual FES and finally we aim at the development of motion correction controller to find the appropriate FES signals against a disabled motor function.