Classification of the Korean Sign Language Alphabet Using an Accelerometer with a Support Vector Machine

Figure 7

Classification accuracies of the 31 sign language letters using the support vector machine. Each plot represents (a) the classification accuracy across the 31 sign language letters and (b) the average classification accuracy of all sign language letters across subjects () and the mean accuracy (92.2%, dashed line) of all subjects.

(a)

(b)