1. Introduction
Human action recognition has been widely applied in various applications, including intelligent surveillance, human-computer interaction and video analysis [1]–[4]. 3D representation of human action provides more comprehensive and discriminative information than 2D RGB videos. During recent years, the skeleton-based 3D action recognition has been attracting increasing attention due to its high level representation and robustness to appearances and surrounding distractions.