Expressive avatars in MPEG-4

Man-machine interaction (MMI) systems that utilize multimodal information about users' current emotional state are presently at the forefront of interest of the computer vision and artificial intelligence communities. A lifelike avatar can enhance interactive applications. In this paper, we present the implementation of GretaEngine and synthesized expressions, including intermediate ones, based on MPEG-4 standard and Whissel's emotion representation.

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