To improve the operation mode of robots and improve the recognition accuracy of somatosensory interaction， a somatosensory interaction technique based on the limiting weighted skeleton node filtering is proposed. Firstly， the Kinect sensor is used to acquire the depth scene information， the obtained depth information is processed by the skeleton tracking technology to match the joints of the human body， and the 3D coordinates of the joints of the human body are established. Then the rotation angles of each joint are calculated in the form of space vector mapping， and the proposed limiting weighted filtering algorithm is used to reduce the influence of bone noise by limiting weighted filtering the acquired and calculated joint rotation angles. Finally， the rotation angle is converted into a control command， which is sent to the mechanical arm controller through the Bluetooth serial port， and the steering of the mechanical arm is controlled. Experimental results show that the method can realize the somatosensory interaction effect， and the recognition rate of the robot arm with the human arm movement is 96.3%， and the limiting weighted filtering algorithm can effectively reduce the influence of skeleton noise.