Emotion Transfer for Hand Animation

Irimia, Ana-Sabina, Chan, Jacky C. P., Mistry, Kamlesh, Wei, Wei and Ho, Edmond (2019) Emotion Transfer for Hand Animation. In: Proceedings - MIG 2019: ACM Conference on Motion, Interaction, and Games: Newcastle upon Tyne, England, October 28-30, 2019. Association for Computing Machinery, New York, p. 41. ISBN 9781450369947

Irimia et al - Emotion Transfer for Hand Animation AAM.pdf - Accepted Version

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Official URL: https://doi.org/10.1145/3359566.3364692


We propose a new data-driven framework for synthesizing hand motion at different emotion levels. Specifically, we first capture high-quality hand motion using VR gloves. The hand motion data is then annotated with the emotion type and a latent space is constructed from the motions to facilitate the motion synthesis process. By interpolating the latent representation of the hand motion, new hand animation with different levels of emotion strength can be generated. Experimental results show that our framework can produce smooth and consistent hand motions at an interactive rate.

Item Type: Book Section
Uncontrolled Keywords: hand animation, emotion, motion capture, style transfer
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Paul Burns
Date Deposited: 01 Oct 2019 11:11
Last Modified: 31 Jul 2021 12:17
URI: http://nrl.northumbria.ac.uk/id/eprint/40940

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