EmotiW 2020: Driver Gaze, Group Emotion, Student Engagement and Physiological Signal based Challenges

Abhinav Dhall, Garima Sharma, Roland Goecke, Tom Gedeon

Research output: A Conference proceeding or a Chapter in BookConference contribution

Abstract

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 publicationICMI '20: Proceedings of the 2020 International Conference on Multimodal Interaction
EditorsKhiet Truong, Dirk Heylen, Mary Czerwinski, Nadia Berthouze, Mohamed Chetouani, Mikio Nakano
Place of PublicationUnited States
PublisherAssociation for Computing Machinery (ACM)
Pages784-789
Number of pages6
ISBN (Print)9781450375818
DOIs
Publication statusPublished - 21 Oct 2020
Event22nd ACM International Conference on Multimodal Interaction - Utrecht, Netherlands
Duration: 25 Oct 202029 Oct 2020
http://icmi.acm.org/2020/

Conference

Conference22nd ACM International Conference on Multimodal Interaction
Abbreviated titleICMI'20
CountryNetherlands
CityUtrecht
Period25/10/2029/10/20
Internet address

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