Performance analysis of an off-line BMI for the control of a robotic digit
Résumé
Various recent brain-machine interface (BMI) applications have emphasized the potential of using cortical signals for the kinematic control of artificial devices such as robotic arms or legs [1], [2]. However, it is less clear whether hand and digit movements can be controlled in the same way in order to potentially restore manual dexterity. Recently, we have provided a proof-of-concept that an anthropomorphic robot finger with 4 degrees of freedom (DoF) can be controlled off-line by intracortical signals recorded in the behaving monkey [3]. Here we report the performance analysis based on the same data and robot, the statistical results including aspects of learning/training, prediction, as well as control.
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