This paper presents an action recognition method based on 3D skeleton.This method redefines the coordinates of the articulations which belong to the skeleton to form a simplistic skeleton model firstly.Then a reformative dynamic time warping (R-DTW) algorithm is applied to implement action recognition.There are no two persons identical in an action owing to the difference of body size

shape and action expression.The simplistic skeleton model could decrease this intra-class variability effectively.The drawbacks of conventional DTW algorithm lie in high computational complexity and low recognition efficiency.To solve this problem

we design a method named Planning Refining.We conduct this algorithm on MSR Action3D dataset and the results demonstrate its effectiveness.