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MUFFLE: prototype of light-weight haptic augmented pressure interface for on-fly neurorehabilitation

In this demonstration, we suggest lightweight haptic communications from the context of remote neurorehabilitation. In particular, we collect tactile data from pressure sensors attached to the human hand and design a classifier to determine the objects that an individual holds or grasps. Finally, we have implemented the proposed system on Raspberry Pi and demonstrated a personalized classification while rendering the haptic feedback in a virtual perception.