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.
