Fig. 3: Performance comparison.
From: Gesture recognition with Brownian reservoir computing using geometrically confined skyrmion dynamics

a Table of different hand gestures in data set. b Comparison of detection accuracy between linear support vector machine (LIN SVM), non-linear radial basis support vector machine (RBF SVM) and reservoir (RSVR), with different number of magnetic tunnel junctions (MTJ), plus SVM (LIN SVM) for different gesture pairs. The error is calculated with the standard error of different SVM resulting from the K-Folding. c Mean accuracy for the different approaches, the error is the mean of the standard error from b).