EmotiW 2018: audio-video, student engagement and group-level affect prediction

Abhinav Dhall; Amanjot Kaur; Roland Goecke; Tamás (Tom) Gedeon

EmotiW 2018: audio-video, student engagement and group-level affect prediction

Abhinav Dhall, Amanjot Kaur, Roland Goecke, Tamás (Tom) Gedeon

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

Abstract

This paper details the sixth Emotion Recognition in the Wild (EmotiW) challenge. EmotiW 2018 is a grand challenge in the ACM International Conference on Multimodal Interaction 2018, Colarado, USA. The challenge aims at providing a common platform to researchers working in the affective computing community to benchmark their algorithms on ‘in the wild’ data. This year EmotiW contains three sub-challenges: a) Audio-video based emotion recognition; b) Student engagement prediction; and c) Group-level emotion recognition.
The databases, protocols and baselines are discussed in detail.

Original language	English
Title of host publication	Proceedings of the 20th ACM International Conference on Multimodal Interaction
Editors	Emily Mower Provost, Mohammad Soleymani, Marcelo Worsley
Place of Publication	New York NY USA
Publisher	Association for Computing Machinery (ACM)
Pages	653-656
Number of pages	4
ISBN (Electronic)	9781450356923
Publication status	Published - 2018
Externally published	Yes
Event	International Conference on Multimodal Interfaces 2018 - Boulder, United States of America Duration: 16 Oct 2019 → 20 Oct 2019 Conference number: 20th https://icmi.acm.org/2018/ https://dl.acm.org/doi/proceedings/10.1145/3281151 (Proceedings)

Conference

Conference	International Conference on Multimodal Interfaces 2018
Abbreviated title	ICMI 2018
Country/Territory	United States of America
City	Boulder
Period	16/10/19 → 20/10/19
Internet address	https://icmi.acm.org/2018/ https://dl.acm.org/doi/proceedings/10.1145/3281151 (Proceedings)

Keywords

Emotion Recognition
Affective Computing

Access to Document

https://dl.acm.org/citation.cfm?id=3264993

Cite this

@inproceedings{66749aefab0e48638a023f69ba714742,

title = "EmotiW 2018: audio-video, student engagement and group-level affect prediction",

abstract = "This paper details the sixth Emotion Recognition in the Wild (EmotiW) challenge. EmotiW 2018 is a grand challenge in the ACM International Conference on Multimodal Interaction 2018, Colarado, USA. The challenge aims at providing a common platform to researchers working in the affective computing community to benchmark their algorithms on {\textquoteleft}in the wild{\textquoteright} data. This year EmotiW contains three sub-challenges: a) Audio-video based emotion recognition; b) Student engagement prediction; and c) Group-level emotion recognition.The databases, protocols and baselines are discussed in detail.",

keywords = "Emotion Recognition, Affective Computing",

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

year = "2018",

language = "English",

pages = "653--656",

editor = "{Mower Provost}, {Emily } and Mohammad Soleymani and Worsley, {Marcelo }",

booktitle = "Proceedings of the 20th ACM International Conference on Multimodal Interaction",

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

address = "United States of America",

note = "International Conference on Multimodal Interfaces 2018, ICMI 2018 ; Conference date: 16-10-2019 Through 20-10-2019",

url = "https://icmi.acm.org/2018/, https://dl.acm.org/doi/proceedings/10.1145/3281151",

}

Dhall, A, Kaur, A, Goecke, R & Gedeon, T 2018, EmotiW 2018: audio-video, student engagement and group-level affect prediction. in E Mower Provost, M Soleymani & M Worsley (eds), Proceedings of the 20th ACM International Conference on Multimodal Interaction. Association for Computing Machinery (ACM), New York NY USA, pp. 653-656, International Conference on Multimodal Interfaces 2018, Boulder, Colorado, United States of America, 16/10/19. <https://dl.acm.org/citation.cfm?id=3264993>

EmotiW 2018: audio-video, student engagement and group-level affect prediction. / Dhall, Abhinav; Kaur, Amanjot; Goecke, Roland et al.
Proceedings of the 20th ACM International Conference on Multimodal Interaction. ed. / Emily Mower Provost; Mohammad Soleymani; Marcelo Worsley. New York NY USA: Association for Computing Machinery (ACM), 2018. p. 653-656.

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

TY - GEN

T1 - EmotiW 2018

T2 - International Conference on Multimodal Interfaces 2018

AU - Dhall, Abhinav

AU - Kaur, Amanjot

AU - Goecke, Roland

AU - Gedeon, Tamás (Tom)

N1 - Conference code: 20th

PY - 2018

Y1 - 2018

N2 - This paper details the sixth Emotion Recognition in the Wild (EmotiW) challenge. EmotiW 2018 is a grand challenge in the ACM International Conference on Multimodal Interaction 2018, Colarado, USA. The challenge aims at providing a common platform to researchers working in the affective computing community to benchmark their algorithms on ‘in the wild’ data. This year EmotiW contains three sub-challenges: a) Audio-video based emotion recognition; b) Student engagement prediction; and c) Group-level emotion recognition.The databases, protocols and baselines are discussed in detail.

AB - This paper details the sixth Emotion Recognition in the Wild (EmotiW) challenge. EmotiW 2018 is a grand challenge in the ACM International Conference on Multimodal Interaction 2018, Colarado, USA. The challenge aims at providing a common platform to researchers working in the affective computing community to benchmark their algorithms on ‘in the wild’ data. This year EmotiW contains three sub-challenges: a) Audio-video based emotion recognition; b) Student engagement prediction; and c) Group-level emotion recognition.The databases, protocols and baselines are discussed in detail.

KW - Emotion Recognition

KW - Affective Computing

M3 - Conference Paper

SP - 653

EP - 656

BT - Proceedings of the 20th ACM International Conference on Multimodal Interaction

A2 - Mower Provost, Emily

A2 - Soleymani, Mohammad

A2 - Worsley, Marcelo

PB - Association for Computing Machinery (ACM)

CY - New York NY USA

Y2 - 16 October 2019 through 20 October 2019

ER -