It is challenging to recognize human hand grasp movements through electromyogram (EMG) signals. In this paper, EMG–EMG coherence measure is used to describe correlations of EMG recordings during different hand grasp movements. Meanwhile, linear discriminant analysis (LDA) is utilized to evaluate the performance of the EMG–EMG coherence measure for identifying the grasp movements. Experimental results show that the EMG–EMG coherence measure is effective to extract correlations among EMG recordings, with which different types of hand grasp movements have been successfully distinguished. It is shown that the EMG–EMG coherence measure might be a potential tool to reveal the EMG–EMG correlation between the intermuscular interactions during hand grasp movements.
|Number of pages||11|
|Journal||International Journal of Humanoid Robotics|
|Publication status||Published - 27 Feb 2014|