From individual to group-level emotion recognition: EmotiW 5.0

Abhinav Dhall, Roland Goecke, Shreya Ghosh, Jyoti Joshi, Jesse Hoey, Tom Gedeon

Research output: A Conference proceeding or a Chapter in BookConference contribution

51 Citations (Scopus)

Abstract

Research in automatic affect recognition has come a long way. This paper describes the fifth Emotion Recognition in the Wild (EmotiW) challenge 2017. EmotiW aims at providing a common benchmarking platform for researchers working on different aspects of affective computing. This year there are two sub-challenges: a) Audio-video emotion recognition and b) group-level emotion recognition. These challenges are based on the acted facial expressions in the wild and group affect databases, respectively. The particular focus of the challenge is to evaluate method in 'in the wild' settings. 'In the wild' here is used to describe the various environments represented in the images and videos, which represent real-world (not lab like) scenarios. The baseline, data, protocol of the two challenges and the challenge participation are discussed in detail in this paper.
Original languageEnglish
Title of host publicationICMI 2017 - Proceedings of the 19th ACM International Conference on Multimodal Interaction
EditorsEdward Lank, Eve Hoggan, Sriram Subramanian, Alessandro Vinciarelli, Stephen A. Brewster
Place of PublicationNew York, New York, USA
PublisherACM Press, New York, NY USA
Pages524-528
Number of pages5
ISBN (Electronic)9781450355438
ISBN (Print)9781450355438
DOIs
Publication statusPublished - 3 Nov 2017
Event19th ACM International Conference on Multimodal Interaction - Glasgow, United Kingdom
Duration: 13 Nov 201717 Nov 2017
https://icmi.acm.org/2017/

Publication series

NameICMI 2017 - Proceedings of the 19th ACM International Conference on Multimodal Interaction
Volume2017-January

Conference

Conference19th ACM International Conference on Multimodal Interaction
Abbreviated titleICMI 2017
CountryUnited Kingdom
CityGlasgow
Period13/11/1717/11/17
Internet address

Fingerprint

Benchmarking

Cite this

Dhall, A., Goecke, R., Ghosh, S., Joshi, J., Hoey, J., & Gedeon, T. (2017). From individual to group-level emotion recognition: EmotiW 5.0. In E. Lank, E. Hoggan, S. Subramanian, A. Vinciarelli, & S. A. Brewster (Eds.), ICMI 2017 - Proceedings of the 19th ACM International Conference on Multimodal Interaction (pp. 524-528). (ICMI 2017 - Proceedings of the 19th ACM International Conference on Multimodal Interaction; Vol. 2017-January). New York, New York, USA: ACM Press, New York, NY USA. https://doi.org/10.1145/3136755.3143004
Dhall, Abhinav ; Goecke, Roland ; Ghosh, Shreya ; Joshi, Jyoti ; Hoey, Jesse ; Gedeon, Tom. / From individual to group-level emotion recognition: EmotiW 5.0. ICMI 2017 - Proceedings of the 19th ACM International Conference on Multimodal Interaction. editor / Edward Lank ; Eve Hoggan ; Sriram Subramanian ; Alessandro Vinciarelli ; Stephen A. Brewster. New York, New York, USA : ACM Press, New York, NY USA, 2017. pp. 524-528 (ICMI 2017 - Proceedings of the 19th ACM International Conference on Multimodal Interaction).
@inproceedings{85467a4c299f4df69a6c44cd00dcd5d1,
title = "From individual to group-level emotion recognition: EmotiW 5.0",
abstract = "Research in automatic affect recognition has come a long way. This paper describes the fifth Emotion Recognition in the Wild (EmotiW) challenge 2017. EmotiW aims at providing a common benchmarking platform for researchers working on different aspects of affective computing. This year there are two sub-challenges: a) Audio-video emotion recognition and b) group-level emotion recognition. These challenges are based on the acted facial expressions in the wild and group affect databases, respectively. The particular focus of the challenge is to evaluate method in 'in the wild' settings. 'In the wild' here is used to describe the various environments represented in the images and videos, which represent real-world (not lab like) scenarios. The baseline, data, protocol of the two challenges and the challenge participation are discussed in detail in this paper.",
keywords = "Emotion Recognition, audio-video, Group-level emotion recognition, Emotion recognition, Affect analysis in the wild, Facial expression challenge, Audio-video data corpus",
author = "Abhinav Dhall and Roland Goecke and Shreya Ghosh and Jyoti Joshi and Jesse Hoey and Tom Gedeon",
year = "2017",
month = "11",
day = "3",
doi = "10.1145/3136755.3143004",
language = "English",
isbn = "9781450355438",
series = "ICMI 2017 - Proceedings of the 19th ACM International Conference on Multimodal Interaction",
publisher = "ACM Press, New York, NY USA",
pages = "524--528",
editor = "Edward Lank and Eve Hoggan and Sriram Subramanian and Alessandro Vinciarelli and Brewster, {Stephen A.}",
booktitle = "ICMI 2017 - Proceedings of the 19th ACM International Conference on Multimodal Interaction",

}

Dhall, A, Goecke, R, Ghosh, S, Joshi, J, Hoey, J & Gedeon, T 2017, From individual to group-level emotion recognition: EmotiW 5.0. in E Lank, E Hoggan, S Subramanian, A Vinciarelli & SA Brewster (eds), ICMI 2017 - Proceedings of the 19th ACM International Conference on Multimodal Interaction. ICMI 2017 - Proceedings of the 19th ACM International Conference on Multimodal Interaction, vol. 2017-January, ACM Press, New York, NY USA, New York, New York, USA, pp. 524-528, 19th ACM International Conference on Multimodal Interaction, Glasgow, United Kingdom, 13/11/17. https://doi.org/10.1145/3136755.3143004

From individual to group-level emotion recognition: EmotiW 5.0. / Dhall, Abhinav; Goecke, Roland; Ghosh, Shreya; Joshi, Jyoti; Hoey, Jesse; Gedeon, Tom.

ICMI 2017 - Proceedings of the 19th ACM International Conference on Multimodal Interaction. ed. / Edward Lank; Eve Hoggan; Sriram Subramanian; Alessandro Vinciarelli; Stephen A. Brewster. New York, New York, USA : ACM Press, New York, NY USA, 2017. p. 524-528 (ICMI 2017 - Proceedings of the 19th ACM International Conference on Multimodal Interaction; Vol. 2017-January).

Research output: A Conference proceeding or a Chapter in BookConference contribution

TY - GEN

T1 - From individual to group-level emotion recognition: EmotiW 5.0

AU - Dhall, Abhinav

AU - Goecke, Roland

AU - Ghosh, Shreya

AU - Joshi, Jyoti

AU - Hoey, Jesse

AU - Gedeon, Tom

PY - 2017/11/3

Y1 - 2017/11/3

N2 - Research in automatic affect recognition has come a long way. This paper describes the fifth Emotion Recognition in the Wild (EmotiW) challenge 2017. EmotiW aims at providing a common benchmarking platform for researchers working on different aspects of affective computing. This year there are two sub-challenges: a) Audio-video emotion recognition and b) group-level emotion recognition. These challenges are based on the acted facial expressions in the wild and group affect databases, respectively. The particular focus of the challenge is to evaluate method in 'in the wild' settings. 'In the wild' here is used to describe the various environments represented in the images and videos, which represent real-world (not lab like) scenarios. The baseline, data, protocol of the two challenges and the challenge participation are discussed in detail in this paper.

AB - Research in automatic affect recognition has come a long way. This paper describes the fifth Emotion Recognition in the Wild (EmotiW) challenge 2017. EmotiW aims at providing a common benchmarking platform for researchers working on different aspects of affective computing. This year there are two sub-challenges: a) Audio-video emotion recognition and b) group-level emotion recognition. These challenges are based on the acted facial expressions in the wild and group affect databases, respectively. The particular focus of the challenge is to evaluate method in 'in the wild' settings. 'In the wild' here is used to describe the various environments represented in the images and videos, which represent real-world (not lab like) scenarios. The baseline, data, protocol of the two challenges and the challenge participation are discussed in detail in this paper.

KW - Emotion Recognition

KW - audio-video

KW - Group-level emotion recognition

KW - Emotion recognition

KW - Affect analysis in the wild

KW - Facial expression challenge

KW - Audio-video data corpus

UR - http://www.scopus.com/inward/record.url?scp=85046536088&partnerID=8YFLogxK

UR - http://www.mendeley.com/research/individual-grouplevel-emotion-recognition-emotiw-50

U2 - 10.1145/3136755.3143004

DO - 10.1145/3136755.3143004

M3 - Conference contribution

SN - 9781450355438

T3 - ICMI 2017 - Proceedings of the 19th ACM International Conference on Multimodal Interaction

SP - 524

EP - 528

BT - ICMI 2017 - Proceedings of the 19th ACM International Conference on Multimodal Interaction

A2 - Lank, Edward

A2 - Hoggan, Eve

A2 - Subramanian, Sriram

A2 - Vinciarelli, Alessandro

A2 - Brewster, Stephen A.

PB - ACM Press, New York, NY USA

CY - New York, New York, USA

ER -

Dhall A, Goecke R, Ghosh S, Joshi J, Hoey J, Gedeon T. From individual to group-level emotion recognition: EmotiW 5.0. In Lank E, Hoggan E, Subramanian S, Vinciarelli A, Brewster SA, editors, ICMI 2017 - Proceedings of the 19th ACM International Conference on Multimodal Interaction. New York, New York, USA: ACM Press, New York, NY USA. 2017. p. 524-528. (ICMI 2017 - Proceedings of the 19th ACM International Conference on Multimodal Interaction). https://doi.org/10.1145/3136755.3143004