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

Authors :
Ringeval, Fabien
Schuller, Björn
Valstar, Michel
Cummins, NIcholas
Cowie, Roddy
Tavabi, Leili
Schmitt, Maximilian
Alisamir, Sina
Amiriparian, Shahin
Messner, Eva-Maria
Song, Siyang
Liu, Shuo
Zhao, Ziping
Mallol-Ragolta, Adria
Ren, Zhao
Soleymani, Mohammad
Pantic, Maja
Publication Year :
2019

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.

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.1907.11510
Document Type :
Working Paper