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.
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CITATION STYLE
Dhall, A., Ghosh, S., Goecke, R., & Gedeon, T. (2019). EmotiW 2019: Automatic emotion, engagement and cohesion prediction tasks. In ICMI 2019 - Proceedings of the 2019 International Conference on Multimodal Interaction (pp. 546–550). Association for Computing Machinery, Inc. https://doi.org/10.1145/3340555.3355710
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