This repository contains the code used in the paper "Deacoding the grasping intention from Electromyography during reaching motions"
More over it contains the following folders:
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the folder classification contains matlab functions for training different classifiers (SVM, ESN and LDA) with the EMG signals as described in the paper
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the folder "statistical_analysis" contains the matlab functions for the statistical analysis that presented in the paper
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the folder visualizations contains the matlab function for modeling the phases of the motions as described in the paper
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the folder CAPS_slaves contains the python scripts which were used for the real-time evaluation
The matlab functions have two dependences: a) the SVM library SVM and b) the ESN matlab toolbox