EmotiW 2023: Emotion Recognition in the Wild Challenge

Abhinav Dhall, Monisha Singh, Roland Goecke, Tom Gedeon, Donghuo Zeng, Yanan Wang, Kazushi Ikeda
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引用次数: 2

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.
EmotiW 2023:野生挑战中的情感识别
本文描述了第9次野外情感识别(EmotiW)挑战,该挑战将在2023年第25届ACM国际多模式交互会议上作为重大挑战进行。EmotiW挑战侧重于影响相关的基准测试任务,包括两个子挑战:a)野外用户参与度预测,b)基于视听群体的情感识别。这项挑战的目的是为来自不同领域的研究人员提供一个共同的平台。目标是促进方法的发展和评估,这些方法可以预测参与水平和/或识别现实环境中一群人的感知情感健康。我们描述了数据集、挑战协议和伴随的子挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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