EmotiW 2020: driver gaze, group emotion, student engagement and physiological signal based challenges

Abhinav Dhall; Garima Sharma; Roland Goecke; Tom Gedeon

doi:10.1145/3382507.3417973

EmotiW 2020: driver gaze, group emotion, student engagement and physiological signal based challenges

Abhinav Dhall, Garima Sharma, Roland Goecke, Tom Gedeon

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

67 Citations (Scopus)

Abstract

This paper introduces the Eighth Emotion Recognition in the Wild (EmotiW) challenge. EmotiW is a benchmarking effort run as a grand challenge of the 22nd ACM International Conference on Multimodal Interaction 2020. It comprises of four tasks related to automatic human behavior analysis: a) driver gaze prediction; b) audio-visual group-level emotion recognition; c) engagement prediction in the wild; and d) physiological signal based emotion recognition. The motivation of EmotiW is to bring researchers in affective computing, computer vision, speech processing and machine learning to a common platform for evaluating techniques on a test data. We discuss the challenge protocols, databases and their associated baselines.

Original language	English
Title of host publication	Proceedings of the 2020 International Conference on Multimodal Interaction
Editors	Nadia Berthouze, Mohamed Chetouani, Mikio Nakano
Place of Publication	New York NY USA
Publisher	Association for Computing Machinery (ACM)
Pages	784-789
Number of pages	6
ISBN (Electronic)	9781450375818
DOIs	https://doi.org/10.1145/3382507.3417973
Publication status	Published - 2020
Event	International Conference on Multimodal Interfaces 2020 - Virtual , Netherlands Duration: 25 Oct 2020 → 29 Oct 2020 Conference number: 22nd https://icmi.acm.org/2020/index.php?id=cfp (Website) https://dl.acm.org/doi/proceedings/10.1145/3382507 (Proceedings)

Conference

Conference	International Conference on Multimodal Interfaces 2020
Abbreviated title	ICMI 2020
Country/Territory	Netherlands
City	Virtual
Period	25/10/20 → 29/10/20
Internet address	https://icmi.acm.org/2020/index.php?id=cfp (Website) https://dl.acm.org/doi/proceedings/10.1145/3382507 (Proceedings)

Keywords

affective computing
automatic human behavior analysis
driver gaze prediction
group emotions
student engagement

Access to Document

10.1145/3382507.3417973

Cite this

Dhall, A., Sharma, G., Goecke, R., & Gedeon, T. (2020). EmotiW 2020: driver gaze, group emotion, student engagement and physiological signal based challenges. In N. Berthouze, M. Chetouani, & M. Nakano (Eds.), Proceedings of the 2020 International Conference on Multimodal Interaction (pp. 784-789). Association for Computing Machinery (ACM). https://doi.org/10.1145/3382507.3417973

Dhall, Abhinav ; Sharma, Garima ; Goecke, Roland et al. / EmotiW 2020 : driver gaze, group emotion, student engagement and physiological signal based challenges. Proceedings of the 2020 International Conference on Multimodal Interaction. editor / Nadia Berthouze ; Mohamed Chetouani ; Mikio Nakano. New York NY USA : Association for Computing Machinery (ACM), 2020. pp. 784-789

@inproceedings{d71c50dfa8e142c488614d3e714da242,

title = "EmotiW 2020: driver gaze, group emotion, student engagement and physiological signal based challenges",

abstract = "This paper introduces the Eighth Emotion Recognition in the Wild (EmotiW) challenge. EmotiW is a benchmarking effort run as a grand challenge of the 22nd ACM International Conference on Multimodal Interaction 2020. It comprises of four tasks related to automatic human behavior analysis: a) driver gaze prediction; b) audio-visual group-level emotion recognition; c) engagement prediction in the wild; and d) physiological signal based emotion recognition. The motivation of EmotiW is to bring researchers in affective computing, computer vision, speech processing and machine learning to a common platform for evaluating techniques on a test data. We discuss the challenge protocols, databases and their associated baselines. ",

keywords = "affective computing, automatic human behavior analysis, driver gaze prediction, group emotions, student engagement",

author = "Abhinav Dhall and Garima Sharma and Roland Goecke and Tom Gedeon",

year = "2020",

doi = "10.1145/3382507.3417973",

language = "English",

pages = "784--789",

editor = "Nadia Berthouze and Chetouani, {Mohamed } and Mikio Nakano",

booktitle = "Proceedings of the 2020 International Conference on Multimodal Interaction",

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

address = "United States of America",

note = "International Conference on Multimodal Interfaces 2020, ICMI 2020 ; Conference date: 25-10-2020 Through 29-10-2020",

url = "https://icmi.acm.org/2020/index.php?id=cfp, https://dl.acm.org/doi/proceedings/10.1145/3382507",

}

Dhall, A, Sharma, G, Goecke, R & Gedeon, T 2020, EmotiW 2020: driver gaze, group emotion, student engagement and physiological signal based challenges. in N Berthouze, M Chetouani & M Nakano (eds), Proceedings of the 2020 International Conference on Multimodal Interaction. Association for Computing Machinery (ACM), New York NY USA, pp. 784-789, International Conference on Multimodal Interfaces 2020, Virtual , Netherlands, 25/10/20. https://doi.org/10.1145/3382507.3417973

EmotiW 2020: driver gaze, group emotion, student engagement and physiological signal based challenges. / Dhall, Abhinav; Sharma, Garima; Goecke, Roland et al.
Proceedings of the 2020 International Conference on Multimodal Interaction. ed. / Nadia Berthouze; Mohamed Chetouani; Mikio Nakano. New York NY USA: Association for Computing Machinery (ACM), 2020. p. 784-789.

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

TY - GEN

T1 - EmotiW 2020

T2 - International Conference on Multimodal Interfaces 2020

AU - Dhall, Abhinav

AU - Sharma, Garima

AU - Goecke, Roland

AU - Gedeon, Tom

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PY - 2020

Y1 - 2020

N2 - This paper introduces the Eighth Emotion Recognition in the Wild (EmotiW) challenge. EmotiW is a benchmarking effort run as a grand challenge of the 22nd ACM International Conference on Multimodal Interaction 2020. It comprises of four tasks related to automatic human behavior analysis: a) driver gaze prediction; b) audio-visual group-level emotion recognition; c) engagement prediction in the wild; and d) physiological signal based emotion recognition. The motivation of EmotiW is to bring researchers in affective computing, computer vision, speech processing and machine learning to a common platform for evaluating techniques on a test data. We discuss the challenge protocols, databases and their associated baselines.

AB - This paper introduces the Eighth Emotion Recognition in the Wild (EmotiW) challenge. EmotiW is a benchmarking effort run as a grand challenge of the 22nd ACM International Conference on Multimodal Interaction 2020. It comprises of four tasks related to automatic human behavior analysis: a) driver gaze prediction; b) audio-visual group-level emotion recognition; c) engagement prediction in the wild; and d) physiological signal based emotion recognition. The motivation of EmotiW is to bring researchers in affective computing, computer vision, speech processing and machine learning to a common platform for evaluating techniques on a test data. We discuss the challenge protocols, databases and their associated baselines.

KW - affective computing

KW - automatic human behavior analysis

KW - driver gaze prediction

KW - group emotions

KW - student engagement

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M3 - Conference Paper

AN - SCOPUS:85096683825

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EP - 789

BT - Proceedings of the 2020 International Conference on Multimodal Interaction

A2 - Berthouze, Nadia

A2 - Chetouani, Mohamed

A2 - Nakano, Mikio

PB - Association for Computing Machinery (ACM)

CY - New York NY USA

Y2 - 25 October 2020 through 29 October 2020

ER -

Dhall A, Sharma G, Goecke R, Gedeon T. EmotiW 2020: driver gaze, group emotion, student engagement and physiological signal based challenges. In Berthouze N, Chetouani M, Nakano M, editors, Proceedings of the 2020 International Conference on Multimodal Interaction. New York NY USA: Association for Computing Machinery (ACM). 2020. p. 784-789 doi: 10.1145/3382507.3417973

EmotiW 2020: driver gaze, group emotion, student engagement and physiological signal based challenges

Abstract

Conference

Keywords

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Other files and links

Adaptive modeling of human responses in complex interaction

Cite this

EmotiW 2020: driver gaze, group emotion, student engagement and physiological signal based challenges

Abstract

Conference

Keywords

Access to Document

Other files and links

Projects

Adaptive modeling of human responses in complex interaction

Cite this