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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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