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

## TL;DR

The AVEC 2019 Challenge provided a standardized benchmark for multimodal health and emotion recognition, focusing on depression detection, state-of-mind, and cross-cultural affect analysis using audiovisual data.

## Contribution

This paper introduces new tasks, guidelines, and baseline results for AVEC 2019, advancing multimodal emotion and health recognition research.

## Key findings

- Baseline systems achieved measurable performance on all three tasks.
- The challenge fostered comparison of different multimedia processing approaches.
- New datasets and evaluation protocols were established for future research.

## 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.