Figure 8From: BioPatRec: A modular research platform for the control of artificial limbs based on pattern recognition algorithmsOffline accuracy. The offline 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 average offline accuracy for LDA, MLP and RFN was 92.1(±0.04)%, 91.2(±0.05)%, and 83.5(±0.09)% respectively. Statistical significance (p<0.05) is shown only for the average values by “ * ”.Back to article page