EmotiW 2019: Automatic emotion, engagement and cohesion prediction tasks

Abhinav Dhall; Shreya Ghosh; Roland Goecke; Tom Gedeon

doi:10.1145/3340555.3355710

EmotiW 2019: Automatic emotion, engagement and cohesion prediction tasks

Abhinav Dhall, Shreya Ghosh, Roland Goecke, Tom Gedeon

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

80 Citations (Scopus)

Abstract

This paper describes the Seventh Emotion Recognition in the Wild (EmotiW) Challenge. The EmotiW benchmarking platform provides researchers with an opportunity to evaluate their methods on affect labelled data. This year EmotiW 2019 encompasses three sub-challenges: a) Group-level cohesion prediction; b) Audio-Video emotion recognition; and c) Student engagement prediction. We discuss the databases used, the experimental protocols and the baselines.

Original language	English
Title of host publication	ICMI '19
Subtitle of host publication	Proceedings of the 2019 International Conference on Multimodal Interaction
Editors	Wen Gao, Helen Mei Ling Meng, Matthew Turk, Susan R Fussell, Bjorn Schuller, Yale Song, Kai Yu
Place of Publication	New York, NY
Publisher	Association for Computing Machinery, Inc
Pages	546-550
Number of pages	5
ISBN (Electronic)	978-1-4503-6860-5
DOIs	https://doi.org/10.1145/3340555.3355710
Publication status	Published - 14 Oct 2019
Externally published	Yes
Event	21st ACM International Conference on Multimodal Interaction - Suzhou, China Duration: 14 Oct 2019 → 18 Oct 2019 Conference number: 21st

Conference

Conference	21st ACM International Conference on Multimodal Interaction
Abbreviated title	ICMI 2019
Country/Territory	China
City	Suzhou
Period	14/10/19 → 18/10/19

Keywords

Affect recognition
Emotion Recognition
Multimodal Analysis
Neural networks

Access to Document

10.1145/3340555.3355710Licence: In Copyright

Cite this

Dhall, A., Ghosh, S., Goecke, R., & Gedeon, T. (2019). EmotiW 2019: Automatic emotion, engagement and cohesion prediction tasks. In W. Gao, H. M. Ling Meng, M. Turk, S. R. Fussell, B. Schuller, Y. Song, & K. Yu (Eds.), ICMI '19: Proceedings of the 2019 International Conference on Multimodal Interaction (pp. 546-550). Association for Computing Machinery, Inc. https://doi.org/10.1145/3340555.3355710

Dhall, Abhinav ; Ghosh, Shreya ; Goecke, Roland et al. / EmotiW 2019 : Automatic emotion, engagement and cohesion prediction tasks. ICMI '19: Proceedings of the 2019 International Conference on Multimodal Interaction. editor / Wen Gao ; Helen Mei Ling Meng ; Matthew Turk ; Susan R Fussell ; Bjorn Schuller ; Yale Song ; Kai Yu. New York, NY : Association for Computing Machinery, Inc, 2019. pp. 546-550

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title = "EmotiW 2019: Automatic emotion, engagement and cohesion prediction tasks",

abstract = "This paper describes the Seventh Emotion Recognition in the Wild (EmotiW) Challenge. The EmotiW benchmarking platform provides researchers with an opportunity to evaluate their methods on affect labelled data. This year EmotiW 2019 encompasses three sub-challenges: a) Group-level cohesion prediction; b) Audio-Video emotion recognition; and c) Student engagement prediction. We discuss the databases used, the experimental protocols and the baselines.",

keywords = "Affect recognition, Emotion Recognition, Multimodal Analysis, Neural networks",

author = "Abhinav Dhall and Shreya Ghosh and Roland Goecke and Tom Gedeon",

year = "2019",

month = oct,

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doi = "10.1145/3340555.3355710",

language = "English",

pages = "546--550",

editor = "Wen Gao and {Ling Meng}, {Helen Mei} and Matthew Turk and Fussell, {Susan R} and Bjorn Schuller and Yale Song and Kai Yu",

booktitle = "ICMI '19",

publisher = "Association for Computing Machinery, Inc",

note = "21st ACM International Conference on Multimodal Interaction, ICMI 2019 ; Conference date: 14-10-2019 Through 18-10-2019",

}

Dhall, A, Ghosh, S, Goecke, R & Gedeon, T 2019, EmotiW 2019: Automatic emotion, engagement and cohesion prediction tasks. in W Gao, HM Ling Meng, M Turk, SR Fussell, B Schuller, Y Song & K Yu (eds), ICMI '19: Proceedings of the 2019 International Conference on Multimodal Interaction. Association for Computing Machinery, Inc, New York, NY, pp. 546-550, 21st ACM International Conference on Multimodal Interaction, Suzhou, China, 14/10/19. https://doi.org/10.1145/3340555.3355710

EmotiW 2019: Automatic emotion, engagement and cohesion prediction tasks. / Dhall, Abhinav; Ghosh, Shreya; Goecke, Roland et al.
ICMI '19: Proceedings of the 2019 International Conference on Multimodal Interaction. ed. / Wen Gao; Helen Mei Ling Meng; Matthew Turk; Susan R Fussell; Bjorn Schuller; Yale Song; Kai Yu. New York, NY: Association for Computing Machinery, Inc, 2019. p. 546-550.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Dhall, Abhinav

AU - Ghosh, Shreya

AU - Goecke, Roland

AU - Gedeon, Tom

N1 - Conference code: 21st

PY - 2019/10/14

Y1 - 2019/10/14

N2 - This paper describes the Seventh Emotion Recognition in the Wild (EmotiW) Challenge. The EmotiW benchmarking platform provides researchers with an opportunity to evaluate their methods on affect labelled data. This year EmotiW 2019 encompasses three sub-challenges: a) Group-level cohesion prediction; b) Audio-Video emotion recognition; and c) Student engagement prediction. We discuss the databases used, the experimental protocols and the baselines.

AB - This paper describes the Seventh Emotion Recognition in the Wild (EmotiW) Challenge. The EmotiW benchmarking platform provides researchers with an opportunity to evaluate their methods on affect labelled data. This year EmotiW 2019 encompasses three sub-challenges: a) Group-level cohesion prediction; b) Audio-Video emotion recognition; and c) Student engagement prediction. We discuss the databases used, the experimental protocols and the baselines.

KW - Affect recognition

KW - Emotion Recognition

KW - Multimodal Analysis

KW - Neural networks

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U2 - 10.1145/3340555.3355710

DO - 10.1145/3340555.3355710

M3 - Conference contribution

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EP - 550

BT - ICMI '19

A2 - Gao, Wen

A2 - Ling Meng, Helen Mei

A2 - Turk, Matthew

A2 - Fussell, Susan R

A2 - Schuller, Bjorn

A2 - Song, Yale

A2 - Yu, Kai

PB - Association for Computing Machinery, Inc

CY - New York, NY

Y2 - 14 October 2019 through 18 October 2019

ER -

Dhall A, Ghosh S, Goecke R, Gedeon T. EmotiW 2019: Automatic emotion, engagement and cohesion prediction tasks. In Gao W, Ling Meng HM, Turk M, Fussell SR, Schuller B, Song Y, Yu K, editors, ICMI '19: Proceedings of the 2019 International Conference on Multimodal Interaction. New York, NY: Association for Computing Machinery, Inc. 2019. p. 546-550 doi: 10.1145/3340555.3355710

EmotiW 2019: Automatic emotion, engagement and cohesion prediction tasks

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