MuSe-Stress: Multimodal Emotional Stress (MuSe2021)

<strong>MuSe-Stress of the 2nd Multimodal Sentiment Challenge! </strong><br> Predicting the level of emotional arousal and valence in a time-continuous manner from audio-visual recordings. This package includes only MuSe-Stress features (all partitions) and labels of the training and development set (test scoring via the MuSe website). More: https://www.muse-challenge.org/muse2021 <strong>General: </strong>The purpose of the Multimodal Sentiment Analysis in Real-life media Challenge and Workshop (MuSe) is to bring together communities from different disciplines. We introduce the novel dataset Ulm-TSST database, supplying a multimodal richly annotated dataset of external dimensional ratings of emotion and mental well-being. After a brief period of preparation the subjects are asked to give an oral presentation, within a job-interview setting. Ulm-TSST includes biological recordings, such as Electrocardiogram (ECG), Electrodermal Activity (EDA), Respiration, and Heart Rate (BPM) as well as continuous arousal and valence annotations. With 105 participants (69.5% female) aged between 18 and 39 years, a total of 10 hours were accumulated.