A collaborative BCI approach to autonomous control of a prosthetic limb system.

摘要: Existing brain-computer interface (BCI) control of highly dexterous robotic manipulators and prosthetic devices typically rely solely on neural decode algorithms to determine the user’s intended motion. Although these approaches have made significant progress in ability high degree freedom (DOF) manipulators, perform activities daily living (ADL) is still an ongoing research endeavor. In this paper, we describe a hybrid system that combines elements autonomous manipulation with maneuver manipulator for reach grasp task. This was demonstrated using human patient cortical micro-electrode arrays allowing user manipulate object table place it at desired location. The preliminary results are promising demonstrates potential blend lower level tasks allows focus higher thereby reducing cognitive load increasing success rate performing ADL type activities.