Reality based virtual humans and animals

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Accurate modeling and animation of human and animal motion is difficult because it requires knowledge of anatomy, biomechanics, and neural control. Motion capture has become popular for computer animation of humans and animals because it avoids this difficulty by directly capturing the subtleties of movement. However, it can be difficult to modify motion capture to satisfy the constraints of a new animation because motion capture does not reveal how it was produced. In this research program we intend to improve the animation of virtual humans and animals through a combination of physically based simulation, biomechanical models, approximations of neural control, and the capture of motion and contact forces. Existing methods of estimating the passive behaviour of capture subjects will be validated, and new methods of estimating controlled stiffness changes will be investigated. We will explore voluntary motions such as reaching, grasping, and rhythmic motions such as scratching and locomotion.