Published October 15, 2019 | Version v1
Conference paper Open

AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition

Description

ABSTRACT

The Audio/Visual Emotion Challenge and Workshop (AVEC 2019) 'State-of-Mind, Detecting Depression with AI, and Cross-cultural Affect Recognition' is the ninth competition event aimed at the comparison of multimedia processing and machine learning methods for automatic audiovisual health and emotion analysis, with all participants competing strictly under the same conditions. The goal of the Challenge is to provide a common benchmark test set for multimodal information processing and to bring together the health and emotion recognition communities, as well as the audiovisual processing communities, to compare the relative merits of various approaches to health and emotion recognition from real-life data. This paper presents the major novelties introduced this year, the challenge guidelines, the data used, and the performance of the baseline systems on the three proposed tasks: state-of-mind recognition, depression assessment with AI, and cross-cultural affect sensing, respectively.

Notes

Further funding has also been received from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No. 115902, which receives support from the European Union's Horizon 2020 research and innovation program and EFPIA. The work on the DDS was supported in part by the U.S. Army. Any opinion, content or information presented does not necessarily re ect the position or the policy of the United States Government, and no o cial endorse- ment should be inferred. The authors further thank the sponsor of the challenge – audEERING GmbH.

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Funding

European Commission
sustAGE - Smart environments for person-centered sustainable work and well-being 826506
European Commission
RADAR-CNS - Remote Assessment of Disease and Relapse in Central Nervous System Disorders 115902
European Commission
DE-ENIGMA - DE-ENIGMA: Multi-Modal Human-Robot Interaction for Teaching and Expanding Social Imagination in Autistic Children 688835