EmotiW 2019: automatic emotion, engagement and cohesion prediction tasks

Abhinav Dhall; Roland Goecke; Shreya Ghosh; Tamás (Tom) Gedeon

doi:10.1145/3340555.3355710

EmotiW 2019: automatic emotion, engagement and cohesion prediction tasks

Abhinav Dhall, Roland Goecke, Shreya Ghosh, Tamás (Tom) Gedeon

Department of Human Centred Computing

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

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	Proceedings of the 2019 International Conference on Multimodal Interaction
Editors	Susan R. Fussell, Björn Schuller, Yale Song, Kai Yu
Place of Publication	New York NY USA
Publisher	Association for Computing Machinery (ACM)
Pages	546-550
Number of pages	5
ISBN (Electronic)	9781450368605
DOIs	https://doi.org/10.1145/3340555.3355710
Publication status	Published - 2019
Event	International Conference on Multimodal Interfaces 2019 - Suzhou, China Duration: 14 Oct 2019 → 18 Oct 2019 Conference number: 21st http://icmi.acm.org/2019/ https://dl.acm.org/doi/proceedings/10.1145/3340555 (Proceedings)

Conference

Conference	International Conference on Multimodal Interfaces 2019
Abbreviated title	ICMI 2019
Country/Territory	China
City	Suzhou
Period	14/10/19 → 18/10/19
Internet address	http://icmi.acm.org/2019/ https://dl.acm.org/doi/proceedings/10.1145/3340555 (Proceedings)

Keywords

Computing methodologies
Computer vision
Machine learning

Access to Document

10.1145/3340555.3355710

288531253-oaFinal published version, 1.54 MB

Cite this

@inproceedings{ce8ecd328b584425a8ecb6ccc51c3055,

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 = "Computing methodologies, Computer vision, Machine learning",

author = "Abhinav Dhall and Roland Goecke and Shreya Ghosh and Gedeon, {Tam{\'a}s (Tom)}",

year = "2019",

doi = "10.1145/3340555.3355710",

language = "English",

pages = "546--550",

editor = "{R. Fussell}, {Susan } and Schuller, {Bj{\"o}rn } and Song, {Yale } and Yu, {Kai }",

booktitle = "Proceedings of the 2019 International Conference on Multimodal Interaction",

publisher = "Association for Computing Machinery (ACM)",

address = "United States of America",

note = "International Conference on Multimodal Interfaces 2019, ICMI 2019 ; Conference date: 14-10-2019 Through 18-10-2019",

url = "http://icmi.acm.org/2019/, https://dl.acm.org/doi/proceedings/10.1145/3340555",

}

Dhall, A, Goecke, R, Ghosh, S & Gedeon, T 2019, EmotiW 2019: automatic emotion, engagement and cohesion prediction tasks. in S R. Fussell, B Schuller, Y Song & K Yu (eds), Proceedings of the 2019 International Conference on Multimodal Interaction. Association for Computing Machinery (ACM), New York NY USA, pp. 546-550, International Conference on Multimodal Interfaces 2019, Suzhou, China, 14/10/19. https://doi.org/10.1145/3340555.3355710

EmotiW 2019: automatic emotion, engagement and cohesion prediction tasks. / Dhall, Abhinav; Goecke, Roland; Ghosh, Shreya et al.
Proceedings of the 2019 International Conference on Multimodal Interaction. ed. / Susan R. Fussell; Björn Schuller; Yale Song; Kai Yu. New York NY USA: Association for Computing Machinery (ACM), 2019. p. 546-550.

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

TY - GEN

T1 - EmotiW 2019

T2 - International Conference on Multimodal Interfaces 2019

AU - Dhall, Abhinav

AU - Goecke, Roland

AU - Ghosh, Shreya

AU - Gedeon, Tamás (Tom)

N1 - Conference code: 21st

PY - 2019

Y1 - 2019

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 - Computing methodologies

KW - Computer vision

KW - Machine learning

U2 - 10.1145/3340555.3355710

DO - 10.1145/3340555.3355710

M3 - Conference Paper

SP - 546

EP - 550

BT - Proceedings of the 2019 International Conference on Multimodal Interaction

A2 - R. Fussell, Susan

A2 - Schuller, Björn

A2 - Song, Yale

A2 - Yu, Kai

PB - Association for Computing Machinery (ACM)

CY - New York NY USA

Y2 - 14 October 2019 through 18 October 2019

ER -