The human motion recognition method based on depth learning and depth camera is limited by its application scene, and it cannot recognize the human motion in fast changing scene and static image. This article defines human related angle space, and builds eight four layer BP regression neural network using the human body skeleton recognition based on deep learning framework of data. After data extraction and pretreatment of the bone data of human body, training data is processed to increase the dimension, and then it is fitted through the regression neural network. The experimental results show that the proposed method can effectively regress the human body angle, provide reliable basis for human motion recognition in fast changing scene and static image.