Emotion recognition in the wild challenge 2013

Authors:
Abhinav Dhall;Roland Goecke;Jyoti Joshi;Michael Wagner;Tom Gedeon
Affiliations:
Australian National University, Canberra, Australia;University of Canberra, Canberra, Australia;University of Canberra, Canberra, Australia;University of Canberra, Canberra, Australia;Australian National University, Canberra, Australia
Venue:
Proceedings of the 15th ACM on International conference on multimodal interaction
Year:
2013

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Abstract

Emotion recognition is a very active field of research. The Emotion Recognition In The Wild Challenge and Workshop (EmotiW) 2013 Grand Challenge consists of an audio-video based emotion classification challenges, which mimics real-world conditions. Traditionally, emotion recognition has been performed on laboratory controlled data. While undoubtedly worthwhile at the time, such laboratory controlled data poorly represents the environment and conditions faced in real-world situations. The goal of this Grand Challenge is to define a common platform for evaluation of emotion recognition methods in real-world conditions. The database in the 2013 challenge is the Acted Facial Expression in the Wild (AFEW), which has been collected from movies showing close-to-real-world conditions.