Figure 7

Bi-dimensional UMAP projections using the feature vector pairs generated from different sources after removing the signals’ DC component. Four folds of pairs were generated: training set of same-subject pairs, training set of different-subjects pairs, test set of same-subject pairs, test-set of different-subjects pairs. The clusters of pairs from same subject and different subjects are visually separated for training set and test set. The overlap between training set and test set pairs indicates generalization between different set of individuals.