EmotiW 2018: Audio-Video, Student Engagement and Group-Level Affect Prediction

Abhinav Dhall, Amanjot Kaur, Roland GOECKE, Tom Gedeon

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

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 languageEnglish
Title of host publicationProceedings of the 20th ACM International Conference on Multimodal Interaction (ICMI2018)
Place of PublicationNew York, USA
PublisherACM Association for Computing Machinery
Pages653-656
Number of pages4
ISBN (Electronic)9781450356923
DOIs
Publication statusPublished - 16 Oct 2018
Event20th ACM International Conference on Multimodal Interaction 2018 - Boulder, United States
Duration: 16 Oct 201820 Oct 2018
https://icmi.acm.org/2018/

Conference

Conference20th ACM International Conference on Multimodal Interaction 2018
Abbreviated titleICMI2018
CountryUnited States
CityBoulder
Period16/10/1820/10/18
Internet address

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Dhall, A., Kaur, A., GOECKE, R., & Gedeon, T. (2018). EmotiW 2018: Audio-Video, Student Engagement and Group-Level Affect Prediction. In Proceedings of the 20th ACM International Conference on Multimodal Interaction (ICMI2018) (pp. 653-656). New York, USA: ACM Association for Computing Machinery. https://doi.org/10.1145/3242969.3264993
Dhall, Abhinav ; Kaur, Amanjot ; GOECKE, Roland ; Gedeon, Tom. / EmotiW 2018: Audio-Video, Student Engagement and Group-Level Affect Prediction. Proceedings of the 20th ACM International Conference on Multimodal Interaction (ICMI2018). New York, USA : ACM Association for Computing Machinery, 2018. pp. 653-656
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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.",
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Dhall, A, Kaur, A, GOECKE, R & Gedeon, T 2018, EmotiW 2018: Audio-Video, Student Engagement and Group-Level Affect Prediction. in Proceedings of the 20th ACM International Conference on Multimodal Interaction (ICMI2018). ACM Association for Computing Machinery, New York, USA, pp. 653-656, 20th ACM International Conference on Multimodal Interaction 2018, Boulder, United States, 16/10/18. https://doi.org/10.1145/3242969.3264993

EmotiW 2018: Audio-Video, Student Engagement and Group-Level Affect Prediction. / Dhall, Abhinav; Kaur, Amanjot; GOECKE, Roland; Gedeon, Tom.

Proceedings of the 20th ACM International Conference on Multimodal Interaction (ICMI2018). New York, USA : ACM Association for Computing Machinery, 2018. p. 653-656.

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

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Dhall A, Kaur A, GOECKE R, Gedeon T. EmotiW 2018: Audio-Video, Student Engagement and Group-Level Affect Prediction. In Proceedings of the 20th ACM International Conference on Multimodal Interaction (ICMI2018). New York, USA: ACM Association for Computing Machinery. 2018. p. 653-656 https://doi.org/10.1145/3242969.3264993