EmotiW 2019: automatic emotion, engagement and cohesion prediction tasks

Abhinav Dhall, Roland Goecke, Shreya Ghosh, Tamás (Tom) Gedeon

Research output: Chapter in Book/Report/Conference proceedingConference PaperOtherpeer-review

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.
Original languageEnglish
Title of host publicationProceedings of the 2019 International Conference on Multimodal Interaction
EditorsSusan R. Fussell, Björn Schuller, Yale Song, Kai Yu
Place of PublicationNew York NY USA
PublisherAssociation for Computing Machinery (ACM)
Pages546-550
Number of pages5
ISBN (Electronic)9781450368605
DOIs
Publication statusPublished - 2019
EventInternational Conference on Multimodal Interaction 2019 - Suzhou, China
Duration: 14 Oct 201918 Oct 2019
Conference number: 21st
http://icmi.acm.org/2019/

Conference

ConferenceInternational Conference on Multimodal Interaction 2019
Abbreviated titleICMI 2019
CountryChina
CitySuzhou
Period14/10/1918/10/19
Internet address

Keywords

  • Computing methodologies
  • Computer vision
  • Machine learning

Cite this

Dhall, A., Goecke, R., Ghosh, S., & Gedeon, T. T. (2019). EmotiW 2019: automatic emotion, engagement and cohesion prediction tasks. In S. R. Fussell, B. Schuller, Y. Song, & K. Yu (Eds.), Proceedings of the 2019 International Conference on Multimodal Interaction (pp. 546-550). Association for Computing Machinery (ACM). https://doi.org/10.1145/3340555.3355710