Virtual human animation based on movement observation and cognitive behavior models

Abstract

Automatically animating virtual humans with actions that reflect real human motions is still a challenge. We present a framework for animation that is based on utilizing empirical and validated data from movement observation and cognitive psychology. To illustrate these, we demonstrate a mapping from effort motion factors onto expressive arm movements, and from cognitive data to autonomous attention behaviors. We conclude with a discussion on the implications of this approach for the future of real time virtual human animation.