EmotiW 2023: Emotion Recognition in the Wild Challenge

dc.contributor.author	Dhall, A.
dc.contributor.author	Singh, M.
dc.contributor.author	Goecke, R.
dc.contributor.author	Gedeon, T.
dc.contributor.author	Zemg, D.
dc.contributor.author	Wang, Y.
dc.contributor.author	Ikeda, K.
dc.date.accessioned	2024-05-20T13:23:49Z
dc.date.available	2024-05-20T13:23:49Z
dc.date.issued	2024-05-20
dc.identifier.uri	http://dspace.iitrpr.ac.in:8080/xmlui/handle/123456789/4526
dc.description.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 afect 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.	en_US
dc.language.iso	en_US	en_US
dc.subject	Afective Computing	en_US
dc.subject	Group Emotions	en_US
dc.subject	Engagement	en_US
dc.title	EmotiW 2023: Emotion Recognition in the Wild Challenge	en_US
dc.type	Article	en_US