Emotion Recognition In The Wild Challenge 2013

Abhinav Dhall; Roland GOECKE; Jyoti Joshi; Michael WAGNER; Tom Gedeon

doi:10.1145/2522848.2531739

Emotion Recognition In The Wild Challenge 2013

Abhinav Dhall, Roland GOECKE, Jyoti Joshi, Michael WAGNER, Tom Gedeon

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

153 Citations (Scopus)

3 Downloads (Pure)

Abstract

Emotion recognition is a very active field of research. The Emotion Recognition In The Wild Challenge and Workshop (EmotiW) 2013 Grand Challenge consists of an audio-video based emotion classification challenges, which mimics real-world conditions. Traditionally, emotion recognition has been performed on laboratory controlled data. While undoubtedly worthwhile at the time, such laboratory controlled data poorly represents the environment and conditions faced in real-world situations. The goal of this Grand Challenge is to define a common platform for evaluation of emotion recognition methods in real-world conditions. The database in the 2013 challenge is the Acted Facial Expression in the Wild (AFEW), which has been collected from movies showing close-to-real-world conditions.

Original language	English
Title of host publication	ICMI'13 : Proceedings of the 15th ACM International Conference on Multimodal Interaction
Editors	Julien Epps, Fang Chen, Sharon Oviatt, Kenji Mase
Place of Publication	New York, USA
Publisher	Association for Computing Machinery (ACM)
Pages	509-516
Number of pages	8
ISBN (Print)	9781450321297
DOIs	https://doi.org/10.1145/2522848.2531739
Publication status	Published - 2013
Event	15th ACM on International conference on multimodal interaction (ICMI2014) - Sydney, Sydney, Australia Duration: 9 Dec 2013 → 13 Dec 2013

Conference

Conference	15th ACM on International conference on multimodal interaction (ICMI2014)
Abbreviated title	ICMI 2014
Country/Territory	Australia
City	Sydney
Period	9/12/13 → 13/12/13

Access to Document

10.1145/2522848.2531739

http://cs.anu.edu.au/few/EmotiW_icmi_draft_ver_1_0.pdf

Cite this

@inproceedings{a299ccf88e2844c685860a1eaaad8c63,

title = "Emotion Recognition In The Wild Challenge 2013",

abstract = "Emotion recognition is a very active field of research. The Emotion Recognition In The Wild Challenge and Workshop (EmotiW) 2013 Grand Challenge consists of an audio-video based emotion classification challenges, which mimics real-world conditions. Traditionally, emotion recognition has been performed on laboratory controlled data. While undoubtedly worthwhile at the time, such laboratory controlled data poorly represents the environment and conditions faced in real-world situations. The goal of this Grand Challenge is to define a common platform for evaluation of emotion recognition methods in real-world conditions. The database in the 2013 challenge is the Acted Facial Expression in the Wild (AFEW), which has been collected from movies showing close-to-real-world conditions.",

keywords = "emotion recognition, facial expressions, voice characteristics",

author = "Abhinav Dhall and Roland GOECKE and Jyoti Joshi and Michael WAGNER and Tom Gedeon",

year = "2013",

doi = "10.1145/2522848.2531739",

language = "English",

isbn = "9781450321297",

pages = "509--516",

editor = "Julien Epps and Fang Chen and Sharon Oviatt and Kenji Mase",

booktitle = "ICMI'13 : Proceedings of the 15th ACM International Conference on Multimodal Interaction",

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

address = "United States",

note = "15th ACM on International conference on multimodal interaction (ICMI2014), ICMI 2014 ; Conference date: 09-12-2013 Through 13-12-2013",

}

Dhall, A, GOECKE, R, Joshi, J, WAGNER, M & Gedeon, T 2013, Emotion Recognition In The Wild Challenge 2013. in J Epps, F Chen, S Oviatt & K Mase (eds), ICMI'13 : Proceedings of the 15th ACM International Conference on Multimodal Interaction. Association for Computing Machinery (ACM), New York, USA, pp. 509-516, 15th ACM on International conference on multimodal interaction (ICMI2014), Sydney, New South Wales, Australia, 9/12/13. https://doi.org/10.1145/2522848.2531739

Emotion Recognition In The Wild Challenge 2013. / Dhall, Abhinav; GOECKE, Roland; Joshi, Jyoti et al.
ICMI'13 : Proceedings of the 15th ACM International Conference on Multimodal Interaction. ed. / Julien Epps; Fang Chen; Sharon Oviatt; Kenji Mase. New York, USA: Association for Computing Machinery (ACM), 2013. p. 509-516.

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

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AU - WAGNER, Michael

AU - Gedeon, Tom

PY - 2013

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N2 - Emotion recognition is a very active field of research. The Emotion Recognition In The Wild Challenge and Workshop (EmotiW) 2013 Grand Challenge consists of an audio-video based emotion classification challenges, which mimics real-world conditions. Traditionally, emotion recognition has been performed on laboratory controlled data. While undoubtedly worthwhile at the time, such laboratory controlled data poorly represents the environment and conditions faced in real-world situations. The goal of this Grand Challenge is to define a common platform for evaluation of emotion recognition methods in real-world conditions. The database in the 2013 challenge is the Acted Facial Expression in the Wild (AFEW), which has been collected from movies showing close-to-real-world conditions.

AB - Emotion recognition is a very active field of research. The Emotion Recognition In The Wild Challenge and Workshop (EmotiW) 2013 Grand Challenge consists of an audio-video based emotion classification challenges, which mimics real-world conditions. Traditionally, emotion recognition has been performed on laboratory controlled data. While undoubtedly worthwhile at the time, such laboratory controlled data poorly represents the environment and conditions faced in real-world situations. The goal of this Grand Challenge is to define a common platform for evaluation of emotion recognition methods in real-world conditions. The database in the 2013 challenge is the Acted Facial Expression in the Wild (AFEW), which has been collected from movies showing close-to-real-world conditions.

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KW - voice characteristics

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DO - 10.1145/2522848.2531739

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A2 - Epps, Julien

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