Motion capture data utilization of human for animation animal characters is a challenge for animators, the same context with animation animal characters facial expressions are an important factor in establishing the atmosphere of the film when the story conveyed to the audience .
In current study focused on data processing motion capture of human actors face to face then integrated on the characteristics of the animal which has been modified to resemble a human face that has principle of mouth, nose , eyes and eyebrows on the forehead as well as humans can express (humanlike). With reference to the principle of Exaggeration motion capture animation, motion capture data is modified using transformation matrix to obtain the ideal position Exaggeration, the estimated range of values of variables obtained from the study can be used as a reference to the graphic editor and regression modeling to predict the dependent variable from different input transformation matrix motion capture data.
From the test results and regression analysis found the average standard error on .142 Upper Lip, Lower Lip 0.135, 0.112 L Corner Mouth, Mouth Corner 0.129 R, L and R Eye Brow Eye Brow 0.127 0.105 and regression diagram shows a positive correlation.
Keywords: animation, humanlike, motion capture, regression analysis