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Communication Dans Un Congrès Année : 2016

From Expressive End-Effector Trajectories to Expressive Bodily Motions *

Résumé

Recent results in the affective computing sciences point towards the importance of virtual characters capable of conveying affect through their movements. However, in spite of all advances made on the synthesis of expressive motions, almost all of the existing approaches focus on the translation of stylistic content rather than on the generation of new expressive motions. Based on studies that show the importance of end-effector trajectories in the perception and recognition of affect, this paper proposes a new approach for the automatic generation of affective motions. In this approach , expressive content is embedded in a low-dimensional manifold built from the observation of end-effector trajecto-ries. These trajectories are taken from an expressive motion capture database. Body motions are then reconstructed by a multi-chain Inverse Kinematics controller. The similarity between the expressive content of MoCap and synthesized motions is quantitatively assessed through information theory measures.
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Dates et versions

hal-01367822 , version 1 (15-03-2017)

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Pamela Carreno-Medrano, Sylvie Gibet, Pierre-François Marteau. From Expressive End-Effector Trajectories to Expressive Bodily Motions *. 23rd International Conference on Computer Animation and Virtual World, May 2016, Genève, Switzerland. ⟨10.1145/2915926.2915941⟩. ⟨hal-01367822⟩
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