Emotion Recognition in the Wild Challenge 2014: Baseline, Data and Protocol

Abhinav DHALL, Roland GOECKE, Jyoti Joshi, Karan Sikka, Tamas Gedeon

Research output: A Conference proceeding or a Chapter in BookConference contributionpeer-review

168 Citations (Scopus)


The Second Emotion Recognition In The Wild Challenge (EmotiW) 2014 consists of an audio-video based emotion classification challenge, which mimics the real-world conditions. Traditionally, emotion recognition has been performed on data captured in constrained lab-controlled like environment. While this data was a good starting point, such lab controlled data poorly represents the environment and conditions faced in real-world situations. With the exponential increase in the number of video clips being uploaded online, it is worthwhile to explore the performance of emotion recognition methods that work ‘in the wild’. The goal of this Grand Challenge is to carry forward the common platform defined during EmotiW 2013, for evaluation of emotion recognition methods in real-world conditions. The database in the 2014 challenge is the Acted Facial Expression In Wild (AFEW) 4.0, which has been collected from movies showing close-to-real-world conditions. The paper describes the data partitions, the baseline method and the experimental protocol.
Original languageEnglish
Title of host publicationICMI 2014 - Proceedings of the 2014 International Conference on Multimodal Interaction
Editors Salah, Cohn, Schuller
Place of PublicationUSA
PublisherAssociation for Computing Machinery (ACM)
Number of pages6
ISBN (Print)9781450328852
Publication statusPublished - 2014
Event16th International Conference on Multimodal Interaction - Istanbul, Istanbul, Turkey
Duration: 12 Nov 201416 Nov 2014

Publication series

NameICMI 2014 - Proceedings of the 2014 International Conference on Multimodal Interaction


Conference16th International Conference on Multimodal Interaction

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