Cursor Controlled Prosthetic Grasping from 2D Subspaces

Neurally controlled prosthetic devices capable of object manipulation have much potential towards restoring the physical functionality of disabled individuals. However, the number of user input variables provided by current neural decoding systems is much less than the number of control degrees-of-freedom (DOFs) of a prosthetic hand and/or arm. More specifically, efforts to decode user neural activity coming from feasible sensing technologies, such as electroencephalogram (EEG) [3] and cortical neural implants [4], [8], into control signals have demonstrated success limited to 2-3 DOFs with bandwidth approximately 15 bits/sec.