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Illustration of the experimental setting used in the inter-subject approach. The EMG signals of N-1 subjects (where N is the total number of subjects) are used to train the neural network classifier. The trained classifier is then used to predict phases from the EMG signal of the remaining (unlearned) subject. The experiment is repeated N times, each time using a different subject for testing
