In this paper,we implement authentication system based on the the biometric characteristics of hand motion.We propose the authentication method using the hand skeleton information to improve the accuracy of the authentication.There is a keystroke dynamics authentication in previous research.It is an authentication method using individual differences keystroke biometrics.We employ the camera to detect feature value of keystroke.This method reads the skelton from the camera image.We use NimbleSDK to track to the hand.It is a high-performance tracking middleware.It minimizes the risk of false recognition.We evaluate the correlation of a rank of skelton.To examine the similarity, we use the Spearman's rank correlation coefficient.We devise an authentication method based on this evaluation value.Further, incorporate it into the password authentication.According to the method, high level of safety can be ensured.