As a sign language motion classification method, the direction vector from neck to shoulder, elbow, and wrist was calculated by using the nodal position information of the sign language motion using OpenPose. Each element was normalized by distance from neck to shoulder, and the data and SVM were used to create a training model for classifying each motion. In this study, we describe the results of classification accuracy enhancement by adding nodal position information of five fingers.