Abstract

We present a novel technique for generating animation of laughter for a character. Our approach utilizes an anatomically inspired, physics-based model of a human torso that includes a mix of rigid-body and deformable components and is driven by Hill-type muscles. We propose a hierarchical control method which synthesizes laughter from a simple set of input signals. In addition, we present a method for automatically creating an animation from a soundtrack of an individual laughing. We show examples of laugh animations generated by hand-selected input parameters and by our audio-driven optimization approach. We also include results for other behaviors, such as coughing and a sneeze, created using the same model. These animations demonstrate the range of possible motions that can be generated using the proposed system. We compare our technique with both data-driven and procedural animations of laughter.

Keywords

LaughterComputer scienceAnimationCharacter animationCharacter (mathematics)Set (abstract data type)Computer facial animationTorsoComputer animationComputer graphics (images)Artificial intelligenceSkeletal animationComputer visionHuman–computer interactionArtMathematicsProgramming language

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Publication Info

Year
2008
Type
article
Volume
27
Issue
5
Pages
1-8
Citations
72
Access
Closed

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Paul C. DiLorenzo, Victor Zordan, Benjamin L. Sanders (2008). Laughing out loud. ACM Transactions on Graphics , 27 (5) , 1-8. https://doi.org/10.1145/1409060.1409078

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DOI
10.1145/1409060.1409078

Data Quality

Data completeness: 77%