Abstract

We present a database for research on affect, personality traits and mood by means of neuro-physiological signals. Different to other databases, we elicited affect using both short and long videos in two configurations, one with individual viewers and one with groups of viewers. The database allows the multimodal study of the affective responses of individuals in relation to their personality and mood, and the analysis of how these responses are affected by (i) the individual/group configuration, and (ii) the duration of the videos (short vs long). The data is collected in two experimental settings. In the first one, 40 participants watched 16 short emotional videos while they were alone. In the second one, the same participants watched 4 long videos, some of them alone and the rest in groups. In both settings, the participants' signals, namely, Electroencephalogram (EEG), Electrocardiogram (ECG), and Galvanic Skin Response (GSR), were recorded using wearable sensors. Frontal, full-body and depth videos were also recorded. Participants have been profiled for personality using the Big-five personality traits, and for mood with the baseline Positive Affect and Negative Affect Schedules. Participants emotions have been annotated with both, self-assessment of affective levels (valence, arousal, control, familiarity, like/dislike, and selection of basic emotion) felt by the participants during the first experiment, and external-assessment of participants' levels of valence and arousal for both experiments. We present a detailed correlation analysis that includes correlations between self-assessment and external-assessment of affect, between valence and arousal elicited by short and long videos on individuals and groups, as well as, between personality, mood, social context, and affect dimensions. We also present baseline methods and results for single-trial classification of valence and arousal, and for single-trial classification of personality traits, mood and social context (alone vs group), using EEG, GSR and ECG and fusion of modalities for both experiments.

The database has been made publicly available. The dataset was first presented in the following paper:

How to use

If you are interested in using this dataset, you will have to print, sign and scan an EULA (End User License Agreement) and upload it via the dataset request form. We will then supply you with a username and password to download the data. Please head on over to the downloads page for more details.

Also, please consult the dataset description page for a complete explanation of the dataset.

Credits

First and foremost we'd like to thank the 40 participants in this study for having the patience and goodwill to let us record their data.
This dataset was collected by:

All this work has been guided by our supervisors:

Finally, we'd like to thank our funding bodies:

  • Consejo Nacional de Ciencia y Tecnología, Mexico. Scholarship number 359169.