Animating AZee Descriptions Using Off-the-Shelf IK Solvers

Fabrizio Nunnari, Michael Filhol, Alexis Heloir

In: Proceedings of the 8th Workshop on the Representation and Processing of Sign Languages. Workshop on the Representation and Processing of Sign Languages Pages 155-162 ISBN 979-10-95546-01-6 online 5/2018.


We propose to implement a bottom-up animation solution for the AZee system. No low-level AZee animation system exists yet, which hinders its effective implementation as Sign Language avatar input. This bottom-up approach delivers procedurally computed animations and, because of its procedural nature, it is capable of generating the whole possible range of gestures covered by AZee’s symbolic description. The goal is not to compete on the ground of naturalness since movements are bound to look robotic like all bottom-up systems, but its purpose could be to be used as the missing low-level fallback for an existing top-down system. The proposed animation system is built on the top of a freely available 3D authoring tool and takes advantage of the tool’s default IK solving routines.

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz