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Summary for AVEC 2017 - Real-life depression and affect challenge and workshop

  • Fabien Ringeval
  • , Björn Schuller
  • , Michel Valstar
  • , Jonathan Gratch
  • , Roddy Cowie
  • , Maja Pantic
  • Laboratoire DInformatique de Grenoble, INRIA
  • Imperial College London
  • University Hospital Augsburg
  • Universität Passau
  • University of Nottingham
  • University of Southern California
  • Queen's University Belfast
  • University of Twente

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Scopus citations

Abstract

The seventh Audio-Visual Emotion Challenge and workshop AVEC 2017 was held in conjunction with ACM Multimedia'17. This year, the AVECseries addresses two distinct sub-challenges: emotion recognition and depression detection. The Affect Sub-Challenge is based on a novel dataset of human-human interactions recorded 'in-the-wild', whereas the Depression Sub-Challenge is based on the same dataset as the one used in AVEC 2016, with human-agent interactions. In this summary, we mainly describe participation and its conditions.

Original languageEnglish
Title of host publicationMM 2017 - Proceedings of the 2017 ACM Multimedia Conference
PublisherAssociation for Computing Machinery, Inc
Pages1963-1964
Number of pages2
ISBN (Electronic)9781450349062
DOIs
StatePublished - 23 Oct 2017
Externally publishedYes
Event25th ACM International Conference on Multimedia, MM 2017 - Mountain View, United States
Duration: 23 Oct 201727 Oct 2017

Publication series

NameMM 2017 - Proceedings of the 2017 ACM Multimedia Conference

Conference

Conference25th ACM International Conference on Multimedia, MM 2017
Country/TerritoryUnited States
CityMountain View
Period23/10/1727/10/17

Keywords

  • Affective computing
  • Automatic emotion/depression recognition
  • Social signal processing

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