It remains a challenge to efficiently extract spatialtemporal data from skeleton sequences for 3D human action recognition. Since 3D convolutional neural network(3DCNN) is a powerful tool to simultaneously learn features from both spatial and temporal dimensions, in this paper, we propose a two-stream model using 3DCNN. To our best knowledge, this is the fir