Abstract: Systems and methods for simultaneous position and impedance control for myoelectric interfaces are disclosed herein. Properties such as control refinement, retention, generalization, and transfer allow users to learn simultaneous and proportional motion simply by interacting with a myoelectric interface, regardless of its initial intuitiveness. The presently disclosed technology expands on these motor learning approaches by implementing a multidirectional impedance controller in this framework. Using sEMG inputs from upper limb muscles, users simultaneously control both the stiffness and set-point of 3-DOFs. Users stabilize control in the presence of external forces in an analogous way to natural limb movements. Despite having no haptic feedback, subjects learn to tune the stiffness of the object being controlled to stabilize movement along desired paths.

Abstract: Systems and methods for simultaneous position and impedance control for myoelectric interfaces are disclosed herein. Properties such as control refinement, retention, generalization, and transfer allow users to learn simultaneous and proportional motion simply by interacting with a myoelectric interface, regardless of its initial intuitiveness. The presently disclosed technology expands on these motor learning approaches by implementing a multidirectional impedance controller in this framework. Using sEMG inputs from upper limb muscles, users simultaneously control both the stiffness and set-point of 3-DOFs. Users stabilize control in the presence of external forces in an analogous way to natural limb movements. Despite having no haptic feedback, subjects learn to tune the stiffness of the object being controlled to stabilize movement along desired paths.

Abstract: An implicit motor control training system for functional prosthetic device training is provided as a novel approach to rehabilitation and functional prosthetic controls by taking advantage of a human's natural motor learning behavior while interacting with electromyography.