EmotiW 2020:驾驶员凝视、群体情感、学生参与和基于生理信号的挑战

Proceedings of the 2020 International Conference on Multimodal Interaction Pub Date : 2020-10-21 DOI:10.1145/3382507.3417973

Abhinav Dhall, Garima Sharma, R. Goecke, Tom Gedeon

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引用次数: 65

摘要

本文介绍了第八届野外情绪识别挑战赛(EmotiW)。EmotiW是作为2020年第22届ACM国际多模式交互会议的重大挑战而进行的基准测试工作。它包括与人类行为自动分析相关的四个任务:a)驾驶员注视预测;B)视听群体级情感识别;C)野外参与度预测;d)基于生理信号的情绪识别。EmotiW的动机是将情感计算、计算机视觉、语音处理和机器学习方面的研究人员带到一个共同的平台上，以评估测试数据上的技术。我们讨论了挑战协议、数据库及其相关基线。

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EmotiW 2020: Driver Gaze, Group Emotion, Student Engagement and Physiological Signal based Challenges

This paper introduces the Eighth Emotion Recognition in the Wild (EmotiW) challenge. EmotiW is a benchmarking effort run as a grand challenge of the 22nd ACM International Conference on Multimodal Interaction 2020. It comprises of four tasks related to automatic human behavior analysis: a) driver gaze prediction; b) audio-visual group-level emotion recognition; c) engagement prediction in the wild; and d) physiological signal based emotion recognition. The motivation of EmotiW is to bring researchers in affective computing, computer vision, speech processing and machine learning to a common platform for evaluating techniques on a test data. We discuss the challenge protocols, databases and their associated baselines.

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Proceedings of the 2020 International Conference on Multimodal Interaction

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