Abstract: To realize the continuous and dynamic gesture recognition in complex environment, an approach for non-contact hand gesture recognition method was proposed by using the inherent constraint relationship in the arm joints and the specific gesture track characteristics in three-dimensional space.First,a three-dimensional data of human arm joints from the Kinect sensor was obtained. Then,the gesture track with the three-dimensional space characteristics was segmented and converted to onedimensional gesture track. Finally,gesture to preliminary judgment process with the improved dynamic time warp( DTW) algorithm was combined to achieve fast and efficient recognition of dynamic gestures.The experimental results show that the method of gesture track with the space-time characteristics has a high recognition rate and strong robustness under different light and complicated backgrounds.