MultiMediate '23: Engagement Estimation and Bodily Behaviour Recognition in Social Interactions
Philipp M\"{u}ller, Michal Balazia, Tobias Baur, Michael Dietz, Alexander Heimerl, Dominik Schiller, Mohammed Guermal, Dominike Thomas, Fran\c{c}ois Br\'{e}mond, Jan Alexandersson, Elisabeth Andr\'{e}, Andreas Bulling
Proceedings of the 31st ACM International Conference on Multimedia, pp. 9640–9645, 2023.
Abstract
Automatic analysis of human behaviour is a fundamental prerequisite for the creation of machines that can effectively interact with- and support humans in social interactions. In MultiMediate'23, we address two key human social behaviour analysis tasks for the first time in a controlled challenge: engagement estimation and bodily behaviour recognition in social interactions. This paper describes the MultiMediate'23 challenge and presents novel sets of annotations for both tasks. For engagement estimation we collected novel annotations on the NOvice eXpert Interaction (NOXI) database. For bodily behaviour recognition, we annotated test recordings of the MPIIGroupInteraction corpus with the BBSI annotation scheme. In addition, we present baseline results for both challenge tasks.
Links
Paper: mueller23_mm.pdf
Paper Access: https://doi.org/10.1145/3581783.3613851
BibTeX
@inproceedings{mueller23_mm,
title = {MultiMediate '23: Engagement Estimation and Bodily Behaviour Recognition in Social Interactions},
author = {M\"{u}ller, Philipp and Balazia, Michal and Baur, Tobias and Dietz, Michael and Heimerl, Alexander and Schiller, Dominik and Guermal, Mohammed and Thomas, Dominike and Br\'{e}mond, Fran\c{c}ois and Alexandersson, Jan and Andr\'{e}, Elisabeth and Bulling, Andreas},
year = {2023},
booktitle = {Proceedings of the 31st ACM International Conference on Multimedia},
pages = {9640–9645},
doi = {10.1145/3581783.3613851},
url = {https://doi.org/10.1145/3581783.3613851},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
location = {Ottawa ON, Canada},
isbn = {9798400701085},
numpages = {6},
keywords = {dataset, engagement, nonverbal behaviour, challenge},
series = {MM '23},
}