@inproceedings{609fde6d45a34846add4ed49155ec4eb,
title = "EmotiW 2019: Automatic emotion, engagement and cohesion prediction tasks",
abstract = "This paper describes the Seventh Emotion Recognition in the Wild (EmotiW) Challenge. The EmotiW benchmarking platform provides researchers with an opportunity to evaluate their methods on affect labelled data. This year EmotiW 2019 encompasses three sub-challenges: a) Group-level cohesion prediction; b) Audio-Video emotion recognition; and c) Student engagement prediction. We discuss the databases used, the experimental protocols and the baselines.",
keywords = "Affect recognition, Emotion Recognition, Multimodal Analysis, Neural networks",
author = "Abhinav Dhall and Shreya Ghosh and Roland Goecke and Tom Gedeon",
note = "Publisher Copyright: {\textcopyright} 2019 Association for Computing Machinery.; 21st ACM International Conference on Multimodal Interaction, ICMI 2019 ; Conference date: 14-10-2019 Through 18-10-2019",
year = "2019",
month = oct,
day = "14",
doi = "10.1145/3340555.3355710",
language = "English",
series = "ICMI 2019 - Proceedings of the 2019 International Conference on Multimodal Interaction",
publisher = "Association for Computing Machinery (ACM)",
pages = "546--550",
editor = "Wen Gao and {Ling Meng}, {Helen Mei} and Matthew Turk and Fussell, {Susan R.} and Bjorn Schuller and Bjorn Schuller and Yale Song and Kai Yu",
booktitle = "ICMI 2019 - Proceedings of the 2019 International Conference on Multimodal Interaction",
address = "United States",
}