Emotion Recognition In The Wild Challenge 2013

Abhinav Dhall, Roland GOECKE, Jyoti Joshi, Michael WAGNER, Tom Gedeon

    Research output: A Conference proceeding or a Chapter in BookConference contribution

    105 Citations (Scopus)
    3 Downloads (Pure)

    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.
    Original languageEnglish
    Title of host publicationICMI'13 : Proceedings of the 15th ACM International Conference on Multimodal Interaction
    EditorsJulien Epps, Fang Chen, Sharon Oviatt, Kenji Mase
    Place of PublicationNew York, USA
    PublisherACM
    Pages509-516
    Number of pages8
    ISBN (Print)9781450321297
    DOIs
    Publication statusPublished - 2013
    Event15th ACM on International conference on multimodal interaction (ICMI2014) - Sydney, Sydney, Australia
    Duration: 9 Dec 201313 Dec 2013

    Conference

    Conference15th ACM on International conference on multimodal interaction (ICMI2014)
    Abbreviated titleICMI 2014
    CountryAustralia
    CitySydney
    Period9/12/1313/12/13

    Cite this

    Dhall, A., GOECKE, R., Joshi, J., WAGNER, M., & Gedeon, T. (2013). Emotion Recognition In The Wild Challenge 2013. In J. Epps, F. Chen, S. Oviatt, & K. Mase (Eds.), ICMI'13 : Proceedings of the 15th ACM International Conference on Multimodal Interaction (pp. 509-516). ACM. https://doi.org/10.1145/2522848.2531739