A Novel Bionic Neural Network Control Method for Vivid Animation of Virtual Animal's Locomotion

The conventional anti-kinematics control method for animation of virtual animal's locomotion involves lots of observations and exterior posture simulations, and it has many disadvantages such as distortions, low fluency and agility. This paper proposes a novel method which inspired from the principles of animal's locomotion central neural system. The bionic neural network control system consists of a bionic neural network and the dynamic models of all joints. The bionic neural network is a chain network of nonlinear neural oscillators with time-delay excitory or inhibitory connections, and it produce the locomotion gait signals to control all jointal actuators to move. The animation results on the fictive animal "China dragon" proved the validity, fluency and agility of the novel method. And the novel method has favourable applications in the production of films orteleplays.