EmotiW 2020: driver gaze, group emotion, student engagement and physiological signal based challenges

Abhinav Dhall, Garima Sharma, Roland Goecke, Tom Gedeon

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

59 Citations (Scopus)


This paper introduces the Eighth Emotion Recognition in the Wild (EmotiW) challenge. EmotiW is a benchmarking effort run as a grand challenge of the 22nd ACM International Conference on Multimodal Interaction 2020. It comprises of four tasks related to automatic human behavior analysis: a) driver gaze prediction; b) audio-visual group-level emotion recognition; c) engagement prediction in the wild; and d) physiological signal based emotion recognition. The motivation of EmotiW is to bring researchers in affective computing, computer vision, speech processing and machine learning to a common platform for evaluating techniques on a test data. We discuss the challenge protocols, databases and their associated baselines.

Original languageEnglish
Title of host publicationProceedings of the 2020 International Conference on Multimodal Interaction
EditorsNadia Berthouze, Mohamed Chetouani, Mikio Nakano
Place of PublicationNew York NY USA
PublisherAssociation for Computing Machinery (ACM)
Number of pages6
ISBN (Electronic)9781450375818
Publication statusPublished - 2020
EventInternational Conference on Multimodal Interfaces 2020 - Virtual , Netherlands
Duration: 25 Oct 202029 Oct 2020
Conference number: 22nd
https://icmi.acm.org/2020/index.php?id=cfp (Website)
https://dl.acm.org/doi/proceedings/10.1145/3382507 (Proceedings)


ConferenceInternational Conference on Multimodal Interfaces 2020
Abbreviated titleICMI 2020
Internet address


  • affective computing
  • automatic human behavior analysis
  • driver gaze prediction
  • group emotions
  • student engagement

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