In this paper, a method for activity recognition based on 3D acceleration sensor is introduced.We recognized five activity including standing,walking, running,upstair and downstair with this method. Many statistical features are extracted such as standard deviation, skewness, kurtosis and correlation coefficient for classification. The result of experiments for testing the effectiveness of the proposed method is presented.