Embodied avatars as virtual agents have many applications and provide benefits over disembodied agents, allowing non-verbal social and interactional cues to be leveraged, in a similar manner to how humans interact with each other. We present an open embodied avatar built upon the Unreal Engine that can be controlled via a simple python programming interface. The avatar has lip syncing (phoneme control), head gesture and facial expression (using either facial action units or cardinal emotion categories) capabilities. We release code and models to illustrate how the avatar can be controlled like a puppet or used to create a simple conversational agent using public application programming interfaces (APIs). GITHUB link: https://github.com/danmcduff/AvatarSim
Cite
@article{arxiv.1909.08766,
title = {A High-Fidelity Open Embodied Avatar with Lip Syncing and Expression Capabilities},
author = {Deepali Aneja and Daniel McDuff and Shital Shah},
journal= {arXiv preprint arXiv:1909.08766},
year = {2019}
}
Comments
International Conference on Multimodal Interaction (ICMI 2019)