EmotiW 2023: Emotion Recognition in the Wild Challenge

Abhinav Dhall, Monisha Singh, Roland Goecke, Tom Gedeon, Donghuo Zeng, Yanan Wang, Kazushi Ikeda

Research output: A Conference proceeding or a Chapter in BookConference contributionpeer-review

2 Citations (Scopus)

Abstract

This paper describes the 9th Emotion Recognition in the Wild (EmotiW) challenge, which is being run as a grand challenge at the 25th ACM International Conference on Multimodal Interaction 2023. EmotiW challenge focuses on affect related benchmarking tasks and comprises of two sub-challenges: a) User Engagement Prediction in the Wild, and b) Audio-Visual Group-based Emotion Recognition. The purpose of this challenge is to provide a common platform for researchers from diverse domains. The objective is to promote the development and assessment of methods, which can predict engagement levels and/or identify perceived emotional well-being of a group of individuals in real-world circumstances. We describe the datasets, the challenge protocols and the accompanying sub-challenge.
Original languageEnglish
Title of host publicationICMI 2023 - Proceedings of the 25th International Conference on Multimodal Interaction
EditorsElisabeth Andre, Mohamed Chetouani, Dominique Vaufreydaz, Gale Lucas, Tanja Schultz, Louis-Philippe Morency, Alessamdro Vinciarelli
Place of PublicationNew York, NY, USA
PublisherAssociation for Computing Machinery (ACM)
Pages746-749
Number of pages4
ISBN (Electronic)9798400700552
ISBN (Print)9798400700552
DOIs
Publication statusPublished - 9 Oct 2023
Event25th International Conference on Multimodal Interaction - Sorbonne University, Campus Pierre & Marie Curie, Paris, France
Duration: 9 Oct 202313 Oct 2023
https://icmi.acm.org/2023/

Publication series

NameACM International Conference Proceeding Series

Conference

Conference25th International Conference on Multimodal Interaction
Abbreviated titleICMI '23
Country/TerritoryFrance
CityParis
Period9/10/2313/10/23
Internet address

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