Abstract:
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.
