The ReHyb project designs an upper-body hybrid neuroprosthesis using cooperative control strategies based on data-driven system identification and probabilistic estimation techniques for the internal human states, namely digital twin of a user. Our goal is a patient-specific, assist-as-needed device which maximises the training efficiency during home based rehabilitation as means of serious gaming, and offers a pleasant user experience by supporting patients in daily life activities.

You can find more information about this project here.