@inproceedings{d7da36ceffc24c0f94bb00c8800c36d4,
title = "A data-driven method for real-time character animation in human-agent interaction",
abstract = "We address the problem of creating believable animations for virtual humans that need to react to the body movements of a human interaction partner in real-time. Our data-driven approach uses prerecorded motion capture data of two interacting persons and performs motion adaptation during the live human-agent interaction. Extending the interaction mesh approach, our main contribution is a new scheme for efficient identification of motions in the prerecorded animation data that are similar to the live interaction. A global low-dimensional posture space serves to select the most similar interaction example, while local, more detail-rich posture spaces are used to identify poses closely matching the human motion. Using the interaction mesh of the selected motion example, an animation can then be synthesized that takes into account both spatial and temporal similarities between the prerecorded and live interactions.",
keywords = "Character animation, interaction mesh, interactive characters, virtual agent",
author = "David Vogt and Steve Grehl and Erik Berger and {Ben Amor}, Heni and Bernhard Jung",
year = "2014",
month = jan,
day = "1",
doi = "10.1007/978-3-319-09767-1_57",
language = "English (US)",
isbn = "9783319097664",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "463--476",
booktitle = "Intelligent Virtual Agents - 14th International Conference, IVA 2014, Proceedings",
note = "14th International Conference on Intelligent Virtual Agents, IVA 2014 ; Conference date: 27-08-2014 Through 29-08-2014",
}