Disclosed is a method of 3D character pose prediction based on phase-functioned neural networks, which generally relates to 3D pose prediction and AI-driven animation. In the present system, a character control neural network can be used to automatically produce animation. Using the present system, a user can set up a character by defining the path, velocity and/or body shape of the character. After setting up the character, the network can produce skeletal position and rotation information for each frame. The network output can be adjusted with inverse kinematics (IK). If a forecast result goes beyond reasonable expectations, the system can adjust this bone's position and recalculate the angles at other joints.
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