Skip to main content
. Author manuscript; available in PMC: 2013 May 26.
Published in final edited form as: J Neural Eng. 2009 Oct 1;6(6):066001. doi: 10.1088/1741-2560/6/6/066001

Figure 11. Discrete classification of finger movements.

Figure 11

The top row shows the classification accuracy (i.e., the fraction of all finger movements that were correctly classified) for each subject A-E as a function of time relative to movement onset. Movement onset is marked by the dotted line. Accuracy due to chance (i.e., 20%) is marked by the dashed line. The bottom row shows the confusion matrix of classification at the time of the peak classification accuracy for each subject. In each matrix, each row represents the finger that actually moved (from top to bottom: thumb, index, middle, ring, and little finger). Each column represents the finger that we classified (from left to right: thumb, index, middle, ring, and little finger). In each cell, the color indicates the fraction of all movements of a particular finger that was assigned to the particular classified finger.