Surface EMG suffices to classify the motion of each finger independently

@inproceedings{Maier2008SurfaceES,
  title={Surface EMG suffices to classify the motion of each finger independently},
  author={Sebastian Maier and Patrick van der Smagt},
  year={2008}
}
We introduce a learning method which can detect opening (extension) and closing (flexion) actions of all human fingers, as well as sideways movements (abduction/adduction) using lower arm surface EMG only. The method is shown to be used independently of the position of the arm. The method is ideally suited for the control of active prosthesis with a high number of active degrees of freedom. The method is successfully demonstrated on a robotic four-finger hand, and can be used to grasp objects. 
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