abstract

Summary for AVEC 2016: Depression, Mood, and Emotion Recognition Workshop and Challenge

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Maja PanticAuthors Info & Claims

MM '16: Proceedings of the 24th ACM international conference on Multimedia

Pages 1483 - 1484

https://doi.org/10.1145/2964284.2980532

Published: 01 October 2016 Publication History

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Abstract

The sixth Audio-Visual Emotion Challenge and workshop AVEC 2016 was held in conjunction ACM Multimedia'16. This year the AVEC series addresses two distinct sub-challenges, multi-modal emotion recognition and audio-visual depression detection. Both sub-challenges are in a way a return to AVEC's past editions: the emotion sub-challenge is based on the same dataset as the one used in AVEC 2015, and depression analysis was previously addressed in AVEC 2013/2014. In this summary, we mainly describe participation and its conditions.

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Joudeh ICretu ABouchard SGuimond S(2023)Prediction of Continuous Emotional Measures through Physiological and Visual DataSensors10.3390/s2312561323:12(5613)Online publication date: 15-Jun-2023
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Iyortsuun NKim SJhon MYang HPant S(2023)A Review of Machine Learning and Deep Learning Approaches on Mental Health DiagnosisHealthcare10.3390/healthcare1103028511:3(285)Online publication date: 17-Jan-2023
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Yin FDu JXu XZhao L(2023)Depression Detection in Speech Using Transformer and Parallel Convolutional Neural NetworksElectronics10.3390/electronics1202032812:2(328)Online publication date: 8-Jan-2023
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Index Terms

Summary for AVEC 2016: Depression, Mood, and Emotion Recognition Workshop and Challenge
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision tasks
        Activity recognition and understanding
  2. Machine learning

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Information

Published In

MM '16: Proceedings of the 24th ACM international conference on Multimedia

October 2016

1542 pages

ISBN:9781450336031

DOI:10.1145/2964284

General Chairs:
Alan Hanjalic
Delft University of Technology
,
Cees Snoek
Qualcomm Research Netherlands / University of Amsterdam
,
Marcel Worring
University of Amsterdam
,
Moderator:
Dick Bulterman
CWI / VU University Amsterdam
,
Program Chairs:
Benoit Huet
EURECOM
,
Aisling Kelliher
Virginia Tech
,
Yiannis Kompatsiaris
CERTH-ITI
,
Jin Li
Microsoft

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 October 2016

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European Commission

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MM '16

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SIGMM

MM '16: ACM Multimedia Conference

October 15 - 19, 2016

Amsterdam, The Netherlands

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MM '16 Paper Acceptance Rate 52 of 237 submissions, 22%;

Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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Cited By

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Joudeh ICretu ABouchard SGuimond S(2023)Prediction of Continuous Emotional Measures through Physiological and Visual DataSensors10.3390/s2312561323:12(5613)Online publication date: 15-Jun-2023
https://doi.org/10.3390/s23125613
Iyortsuun NKim SJhon MYang HPant S(2023)A Review of Machine Learning and Deep Learning Approaches on Mental Health DiagnosisHealthcare10.3390/healthcare1103028511:3(285)Online publication date: 17-Jan-2023
https://doi.org/10.3390/healthcare11030285
Yin FDu JXu XZhao L(2023)Depression Detection in Speech Using Transformer and Parallel Convolutional Neural NetworksElectronics10.3390/electronics1202032812:2(328)Online publication date: 8-Jan-2023
https://doi.org/10.3390/electronics12020328
Alfred RPailus RObit JLim YSukirno H(2023)A Novel DAAM-DCNNs Hybrid Approach to Facial Expression Recognition to Enhance Learning ExperienceComputational Science – ICCS 202310.1007/978-3-031-36027-5_11(140-154)Online publication date: 26-Jun-2023
https://doi.org/10.1007/978-3-031-36027-5_11
Kansizoglou IMisirlis ETsintotas KGasteratos A(2022)Continuous Emotion Recognition for Long-Term Behavior Modeling through Recurrent Neural NetworksTechnologies10.3390/technologies1003005910:3(59)Online publication date: 12-May-2022
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Kshirsagar SFalk T(2022)Cross-Language Speech Emotion Recognition Using Bag-of-Word Representations, Domain Adaptation, and Data AugmentationSensors10.3390/s2217644522:17(6445)Online publication date: 26-Aug-2022
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Li XLu GYan JZhang Z(2022)A Multi-Scale Multi-Task Learning Model for Continuous Dimensional Emotion Recognition from AudioElectronics10.3390/electronics1103041711:3(417)Online publication date: 29-Jan-2022
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Attas DPower NSmithies JBee CAadahl VKellett SBlackmore CChristensen H(2022)Automated Detection of the Competency of Delivering Guided Self-Help for Anxiety via Speech and Language ProcessingApplied Sciences10.3390/app1217860812:17(8608)Online publication date: 28-Aug-2022
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Workshop summary for the 3rd international audio/visual emotion challenge and workshop (AVEC'13)

Summary for AVEC 2017: Real-life Depression and Affect Challenge and Workshop

AVEC 2013: the continuous audio/visual emotion and depression recognition challenge

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