Please use this identifier to cite or link to this item: http://dspace.iitrpr.ac.in:8080/xmlui/handle/123456789/4526
Title: EmotiW 2023: Emotion Recognition in the Wild Challenge
Authors: Dhall, A.
Singh, M.
Goecke, R.
Gedeon, T.
Zemg, D.
Wang, Y.
Ikeda, K.
Keywords: Afective Computing
Group Emotions
Engagement
Issue Date: 20-May-2024
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.
URI: http://dspace.iitrpr.ac.in:8080/xmlui/handle/123456789/4526
Appears in Collections:Year-2023

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