Real-time accuracy. The real-time accuracy between classifiers per movement (top) and subjects (bottom) are presented in box plots where the central mark represents the median value; the edges of the box are the 25th and 75th percentiles; the whiskers give the range of data values without considering outliers for clarity; and solid markers represent the mean. The real-time accuracy is computed by dividing the number of correct predictions during completion time over all predictions. If no motion completion was achieved, the accuracy was not considered. The real-time accuracies for LDA, MLP and RFN were 67.1(±10)%, 60.9(±8.8)%, and 67.4(±10)%, respectively. Statistical significance (p<0.05) is shown only for the average values by “ * ”.