EmotiW 2023: Emotion Recognition in the Wild Challenge

Abhinav Dhall; Monisha Singh; Roland Goecke; Tom Gedeon; Donghuo Zeng; Yanan Wang; Kazushi Ikeda

doi:10.1145/3577190.3616545

EmotiW 2023: Emotion Recognition in the Wild Challenge

Abhinav Dhall, Monisha Singh, Roland Goecke, Tom Gedeon, Donghuo Zeng, Yanan Wang, Kazushi Ikeda

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

8 Citations (Scopus)

Abstract

This paper describes the 9th Emotion Recognition in the Wild (EmotiW) challenge, which is being run as a grand challenge at the 25th ACM International Conference on Multimodal Interaction 2023. EmotiW challenge focuses on affect related benchmarking tasks and comprises of two sub-challenges: a) User Engagement Prediction in the Wild, and b) Audio-Visual Group-based Emotion Recognition. The purpose of this challenge is to provide a common platform for researchers from diverse domains. The objective is to promote the development and assessment of methods, which can predict engagement levels and/or identify perceived emotional well-being of a group of individuals in real-world circumstances. We describe the datasets, the challenge protocols and the accompanying sub-challenge.

Original language	English
Title of host publication	ICMI '23
Subtitle of host publication	Proceedings of the 25th International Conference on Multimodal Interaction
Place of Publication	New York, NY
Publisher	Association for Computing Machinery
Pages	746-749
Number of pages	4
ISBN (Electronic)	9798400700552
DOIs	https://doi.org/10.1145/3577190.3616545
Publication status	Published - 9 Oct 2023
Externally published	Yes
Event	25th International Conference on Multimodal Interaction, ICMI 2023 - Paris, France Duration: 9 Oct 2023 → 13 Oct 2023

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	25th International Conference on Multimodal Interaction, ICMI 2023
Country/Territory	France
City	Paris
Period	9/10/23 → 13/10/23

Bibliographical note

Publisher Copyright:
© 2023 ACM.

Keywords

Affective Computing
Engagement
Group Emotions

Access to Document

10.1145/3577190.3616545Licence: In Copyright

Cite this

Dhall, A., Singh, M., Goecke, R., Gedeon, T., Zeng, D., Wang, Y., & Ikeda, K. (2023). EmotiW 2023: Emotion Recognition in the Wild Challenge. In ICMI '23: Proceedings of the 25th International Conference on Multimodal Interaction (pp. 746-749). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3577190.3616545

@inproceedings{f172357b929b4edab37f0f547f94acf4,

title = "EmotiW 2023: Emotion Recognition in the Wild Challenge",

abstract = "This paper describes the 9th Emotion Recognition in the Wild (EmotiW) challenge, which is being run as a grand challenge at the 25th ACM International Conference on Multimodal Interaction 2023. EmotiW challenge focuses on affect related benchmarking tasks and comprises of two sub-challenges: a) User Engagement Prediction in the Wild, and b) Audio-Visual Group-based Emotion Recognition. The purpose of this challenge is to provide a common platform for researchers from diverse domains. The objective is to promote the development and assessment of methods, which can predict engagement levels and/or identify perceived emotional well-being of a group of individuals in real-world circumstances. We describe the datasets, the challenge protocols and the accompanying sub-challenge.",

keywords = "Affective Computing, Engagement, Group Emotions",

author = "Abhinav Dhall and Monisha Singh and Roland Goecke and Tom Gedeon and Donghuo Zeng and Yanan Wang and Kazushi Ikeda",

note = "Publisher Copyright: {\textcopyright} 2023 ACM.; 25th International Conference on Multimodal Interaction, ICMI 2023 ; Conference date: 09-10-2023 Through 13-10-2023",

year = "2023",

month = oct,

day = "9",

doi = "10.1145/3577190.3616545",

language = "English",

series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery",

pages = "746--749",

booktitle = "ICMI '23",

}

Dhall, A, Singh, M, Goecke, R, Gedeon, T, Zeng, D, Wang, Y & Ikeda, K 2023, EmotiW 2023: Emotion Recognition in the Wild Challenge. in ICMI '23: Proceedings of the 25th International Conference on Multimodal Interaction. ACM International Conference Proceeding Series, Association for Computing Machinery, New York, NY, pp. 746-749, 25th International Conference on Multimodal Interaction, ICMI 2023, Paris, France, 9/10/23. https://doi.org/10.1145/3577190.3616545

EmotiW 2023: Emotion Recognition in the Wild Challenge. / Dhall, Abhinav; Singh, Monisha; Goecke, Roland et al.
ICMI '23: Proceedings of the 25th International Conference on Multimodal Interaction. New York, NY: Association for Computing Machinery, 2023. p. 746-749 (ACM International Conference Proceeding Series).

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

TY - GEN

T1 - EmotiW 2023

T2 - 25th International Conference on Multimodal Interaction, ICMI 2023

AU - Dhall, Abhinav

AU - Singh, Monisha

AU - Goecke, Roland

AU - Gedeon, Tom

AU - Zeng, Donghuo

AU - Wang, Yanan

AU - Ikeda, Kazushi

PY - 2023/10/9

Y1 - 2023/10/9

N2 - This paper describes the 9th Emotion Recognition in the Wild (EmotiW) challenge, which is being run as a grand challenge at the 25th ACM International Conference on Multimodal Interaction 2023. EmotiW challenge focuses on affect related benchmarking tasks and comprises of two sub-challenges: a) User Engagement Prediction in the Wild, and b) Audio-Visual Group-based Emotion Recognition. The purpose of this challenge is to provide a common platform for researchers from diverse domains. The objective is to promote the development and assessment of methods, which can predict engagement levels and/or identify perceived emotional well-being of a group of individuals in real-world circumstances. We describe the datasets, the challenge protocols and the accompanying sub-challenge.

AB - This paper describes the 9th Emotion Recognition in the Wild (EmotiW) challenge, which is being run as a grand challenge at the 25th ACM International Conference on Multimodal Interaction 2023. EmotiW challenge focuses on affect related benchmarking tasks and comprises of two sub-challenges: a) User Engagement Prediction in the Wild, and b) Audio-Visual Group-based Emotion Recognition. The purpose of this challenge is to provide a common platform for researchers from diverse domains. The objective is to promote the development and assessment of methods, which can predict engagement levels and/or identify perceived emotional well-being of a group of individuals in real-world circumstances. We describe the datasets, the challenge protocols and the accompanying sub-challenge.

KW - Affective Computing

KW - Engagement

KW - Group Emotions

UR - http://www.scopus.com/inward/record.url?scp=85175846897&partnerID=8YFLogxK

U2 - 10.1145/3577190.3616545

DO - 10.1145/3577190.3616545

M3 - Conference contribution

AN - SCOPUS:85175846897

T3 - ACM International Conference Proceeding Series

SP - 746

EP - 749

BT - ICMI '23

PB - Association for Computing Machinery

CY - New York, NY

Y2 - 9 October 2023 through 13 October 2023

ER -

EmotiW 2023: Emotion Recognition in the Wild Challenge

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this