Emotion from Motion

This paper introduces a model to generate \emotional" animation from \neutral" humanmotion. Using techniques from signal processing, our method calculates certain emotional transformswhich are then applied to existing motions of articulated gures in order to produce the same motions, but with an emotional quality such as angry or sad. These transforms capture the di erence between a neutral and emotional movement with respect to two components: speed (timing), and spatial amplitude (range) of a movement. Since the transforms are applied as global operations, they provide a convenient and e cient way to adapt motion-captured, simulated or keyframed animation of articulated gures to di erent situations and characters.