Figure 8.

Offline 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 “ * ”.