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EmotiW 2019: Automatic Emotion, Engagement and Cohesion Prediction Tasks

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Date

2019

Authors

Dhall, A.
Goecke, Roland
Ghosh, Shreya
Gedeon, Tom

Journal Title

Journal ISSN

Volume Title

Publisher

Association for Computing Machinery (ACM)

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.

Description

Keywords

Affect recognition, Multimodal Analysis, Neural networks, Emotion Recognition

Citation

URI

http://hdl.handle.net/1885/313760

Collections

ANU Research Publications

Source

Type

Conference paper

Book Title

Entity type

Access Statement

License Rights

DOI

10.1145/3340555.3355710

Restricted until

2099-12-31

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Description
3340555.3355710.pdf (1.59 MB)

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