AV+ EC 2015--the first affect recognition challenge bridging across audio, video, and physiological data

Ringeval, Fabien and Schuller, Björn and Valstar, Michel and Jaiswal, Shashank and Marchi, Erik and Lalanne, Denis and Cowie, Roddy and Pantic, Maja (2015) AV+ EC 2015--the first affect recognition challenge bridging across audio, video, and physiological data. In: 5th International Workshop on Audio/Visual Emotion Challenge (AVEC), 26-30 October 2015, Brisbane, Australia.

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Abstract

We present the first Audio-Visual+ Emotion recognition Challenge and workshop (AV+EC 2015) aimed at comparison of multimedia processing and machine learning methods for automatic audio, visual and physiological emotion analysis. This is the 5th event in the AVEC series, but the very first Challenge that bridges across audio, video and physiological data. The goal of the Challenge is to provide a common benchmark test set for multimodal information processing and to bring together the audio, video and physiological emotion recognition communities, to compare the relative merits of the three approaches to emotion recognition under well-defined and strictly comparable conditions and establish to what extent fusion of the approaches is possible and beneficial. This paper presents the challenge, the dataset and the performance of the baseline system.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published in: AVEC '15: Proceedings of the 5th International Workshop on Audio/Visual Emotion Challenge. New York : ACM, 2015. ISBN 9781450337434 p. 3-8, doi: 10.1145/2808196.2811642
Keywords: affective computing, emotion recognition, speech, facial expression, physiological signals, challenge
Schools/Departments: University of Nottingham UK Campus > Faculty of Science
University of Nottingham UK Campus > Faculty of Science > School of Computer Science
Depositing User: Valstar, Michel
Date Deposited: 21 Jan 2016 10:35
Last Modified: 14 Sep 2016 13:36
URI: http://eprints.nottingham.ac.uk/id/eprint/31305

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