Learning EMG control of a robotic hand: Towards Active Prostheses

Kurzfassung

Abstract- We introduce a method based on support vector machines which can detect opening and closing actoins of the human thumb, index finder, and other fingers recorded via surface EMG only. The method is shown to be robust across sessoins and can be used independently of the position of the arm. With these stability criteria, the method is ideally suited for the control of active prosthesis with a high nummber of active degrees of freedom. The method os successfully demonstrated on a robotic four-finger hand, and can be used to grasp objects.