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

Figure 6

Comparison of Korean sign language letter classification accuracy between the six different support vector machine (SVM) kernel types. The quadratic kernel is an optimized kernel, and the quadratic SVM classification accuracy is significantly higher than that of the SVM’s linear and Gaussian kernels (, paired -test). The random chance is 3.2%.