Emotion recognition in the wild challenge 2016

Abhinav Dhall, Roland Goecke, Jyoti Joshi, Tom Gedeon

Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

7 Citations (Scopus)

Abstract

The fourth Emotion Recognition in the Wild (EmotiW) challenge is a grand challenge in the ACM International Conference on Multimodal Interaction 2016, Tokyo. EmotiW is a series of benchmarking and competition effort for re- searchers working in the area of automatic emotion recognition in the wild. The fourth EmotiW has two sub-challenges: Video based emotion recognition (VReco) and Group-level emotion recognition (GReco). The VReco sub-challenge is being run for the fourth time and GReco is a new sub- challenge this year.

Original languageEnglish
Title of host publicationProceedings of the 18th ACM International Conference on Multimodal Interaction
EditorsYukiko I. Nakano, Elisabeth Andre, Toyoaki Nishida, Louis-Philippe Morency, Carlos Busso, Catherine Pelachaud
Place of PublicationNew York NY USA
PublisherAssociation for Computing Machinery (ACM)
Pages587-588
Number of pages2
ISBN (Electronic)9781450345569
DOIs
Publication statusPublished - 2016
Externally publishedYes
EventEmotion Recognition in the Wild Challenge 2016 - Tokyo, Japan
Duration: 12 Nov 201612 Nov 2016
Conference number: 4th
https://sites.google.com/site/emotiw2016/

Conference

ConferenceEmotion Recognition in the Wild Challenge 2016
Abbreviated titleEmotiW 2016
CountryJapan
CityTokyo
Period12/11/1612/11/16
Internet address

Keywords

  • Affect analysis in the wild
  • Audio-video data corpus
  • Emotion recognition
  • Facial expression challenge
  • Group-level emotion recognition

Cite this

Dhall, A., Goecke, R., Joshi, J., & Gedeon, T. (2016). Emotion recognition in the wild challenge 2016. In Y. I. Nakano, E. Andre, T. Nishida, L-P. Morency, C. Busso, & C. Pelachaud (Eds.), Proceedings of the 18th ACM International Conference on Multimodal Interaction (pp. 587-588). Association for Computing Machinery (ACM). https://doi.org/10.1145/2993148.3007626