Manual GTAW is commonly used in industry especially for applications which require high weld quality. Unfortunately, skills needed for critical welding operations typically require a long time to develop. In this paper a control system was developed to assist the welder in regulating his/her arm movement (i.e., the welding speed) in real-time. Training experiments are conducted by a human welder, whose movement speed (system output) is accurately tracked by a Leap motion sensor. Visual commands (arrows with both direction and amplitude) are displayed on a monitor, which is used as system input. Modeling trials suggest that Moving Average (MA) models are not sufficient in capturing the human movement dynamics. Auto-Regressive Moving Average (ARMA) models are then identified using Least Squares (LS), and F-test is used to select the model order. Pole placement controller is proposed to control the human welder arm movement. Controller simulation shows that the proposed controller is able to drive the system to desired speed with no static error and acceptable regulating speed. To further demonstrate the effectiveness of the proposed controller, tracking experiments are conducted by a human welder to track various set-points. It is observed that with the proposed pole placement controller, the welder can track the desired speed with acceptable accuracy. The proposed welding speed assistance system may be beneficial to develop the next generation intelligent welding machines.