@inproceedings{8981340afb204d5a95f52b360380790b,
title = "AV+EC 2015 - The first affect recognition challenge bridging across audio, video, and physiological data",
abstract = "We present the first Audio-Visual+ Emotion recognition Challenge and workshop (AV+EC 2015) aimed at compari- son of multimedia processing and machine learning methods for automatic audio, visual and physiological emotion anal- ysis. 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 phys- iological emotion recognition communities, to compare the relative merits of the three approaches to emotion recogni- Tion under well-defined and strictly comparable conditions and establish to what extent fusion of the approaches is pos- sible and beneficial. This paper presents the challenge, the dataset and the performance of the baseline system.",
keywords = "Affective computing, Challenge, Emotion recognition, Facial expression, Physiological signals, Speech",
author = "Fabien Ringeval and Bj{\"o}rn Schuller and Michel Valstar and Shashank Jaiswal and Erik Marchi and Denis Lalanne and Roddy Cowie and Maja Pantic",
note = "Publisher Copyright: {\textcopyright} 2015 ACM.; 5th International Workshop on Audio/Visual Emotion Challenge, AVEC 2015 - co-Located with MM 2015 ; Conference date: 26-10-2015",
year = "2015",
month = oct,
day = "26",
doi = "10.1145/2808196.2811642",
language = "English",
series = "AVEC 2015 - Proceedings of the 5th International Workshop on Audio/Visual Emotion Challenge, co-Located with MM 2015",
publisher = "Association for Computing Machinery, Inc",
pages = "3--8",
booktitle = "AVEC 2015 - Proceedings of the 5th International Workshop on Audio/Visual Emotion Challenge, co-Located with MM 2015",
}