MultiMediate'23: Engagement Estimation and Bodily Behaviour Recognition in Social Interactions

• URL: http://arxiv.org/abs/2308.08256v1
• Date: Wed, 16 Aug 2023 09:47:52 GMT
• Title: MultiMediate'23: Engagement Estimation and Bodily Behaviour Recognition in Social Interactions
• Authors: Philipp M\"uller, Michal Balazia, Tobias Baur, Michael Dietz, Alexander Heimerl, Dominik Schiller, Mohammed Guermal, Dominike Thomas, Fran\c{c}ois Br\'emond, Jan Alexandersson, Elisabeth Andr\'e, Andreas Bulling
• Abstract summary: 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.
• Score: 42.94144353625103
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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.

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