Humor, Emotional Reactions, and Stress
The goal of the MuSe is to provide a common benchmark test set for multimodal information processing and to bring together the Affective Computing, Sentiment Analysis, and Health Informatics research communities, to compare the merits of multimodal fusion for a large amount of modalities under well-defined conditions.
MuSe 2022 featured three sub-challenges based on three datasets:
Humor Detection Sub-Challenge (MuSe-Humor): Detecting the presence of humor in football press conference recordings. The sub-challenge is based on the novel Passau Spontaneous Football Coach Humor (Passau-SFCH) dataset.
Emotional Reactions Sub-Challenge: Predicting the intensities of seven self-reported emotions (Adoration, Amusement, Anxiety, Disgust, Empathic Pain, Fear, Surprise) from user-generated reactions to emotionally evocative videos. The sub-challenge is based on the novel Hume-Reaction data set
Multimodal Emotional Stress Sub-challenge (MuSe-Stress): Predicting the level of valence and psycho-physiological arousal in a time-continuous manner from audio-visual recordings. This sub-challenge is a modified version of last year's MuSe-Stress challenge, based on the Ulm-TSST featuring people in a stressed disposition.
11th April : Data, baseline paper & code available 11th April : Registration opens 13th June : Evaluation System opens 8th July : Paper due 29th July : Paper notification 5th14th August: Camera-ready paper due
October 10: Full-day workshop at ACM MM 2022, Lisbon, Portugal
All dates are AoE.