TY - GEN
T1 - AVEC 2016 - Depression, mood, and emotion recognition workshop and challenge
AU - Valstar, Michel
AU - Gratch, Jonathan
AU - Schuller, Björn
AU - Ringevaly, Fabien
AU - Lalanne, Denis
AU - Torres, Mercedes Torres
AU - Scherer, Stefan
AU - Stratou, Giota
AU - Cowie, Roddy
AU - Panticz, Maja
N1 - Publisher Copyright:
© 2016 Copyright held by the owner/author(s).
PY - 2016/10/16
Y1 - 2016/10/16
N2 - The Audio/Visual Emotion Challenge and Workshop (AVEC 2016) \Depression, Mood and Emotion" will be the sixth competition event aimed at comparison of multimedia processing and machine learning methods for automatic audio, visual and physiological depression and emotion analysis, with all participants competing under strictly the same conditions. The goal of the Challenge is to provide a common benchmark test set for multi-modal information processing and to bring together the depression and emotion recognition communities, as well as the audio, video and physiological processing communities, to compare the relative merits of the various approaches to depression and 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 guidelines, the common data used, and the performance of the baseline system on the two tasks.
AB - The Audio/Visual Emotion Challenge and Workshop (AVEC 2016) \Depression, Mood and Emotion" will be the sixth competition event aimed at comparison of multimedia processing and machine learning methods for automatic audio, visual and physiological depression and emotion analysis, with all participants competing under strictly the same conditions. The goal of the Challenge is to provide a common benchmark test set for multi-modal information processing and to bring together the depression and emotion recognition communities, as well as the audio, video and physiological processing communities, to compare the relative merits of the various approaches to depression and 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 guidelines, the common data used, and the performance of the baseline system on the two tasks.
KW - Affective Computing
KW - Challenge
KW - Emotion Recognition
KW - Facial Expression
KW - Physiological signals
KW - Speech
UR - http://www.scopus.com/inward/record.url?scp=84995553765&partnerID=8YFLogxK
U2 - 10.1145/2988257.2988258
DO - 10.1145/2988257.2988258
M3 - Conference contribution
AN - SCOPUS:84995553765
T3 - AVEC 2016 - Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge, co-located with ACM Multimedia 2016
SP - 3
EP - 10
BT - AVEC 2016 - Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge, co-located with ACM Multimedia 2016
PB - Association for Computing Machinery, Inc
T2 - 6th International Workshop on Audio/Visual Emotion Challenge, AVEC 2016
Y2 - 16 October 2016
ER -