AMIGOS: A Dataset for Affect, Personality and Mood Research on Individuals and Groups
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DOI
10.1109/TAFFC.2018.2884461
Journal
IEEE Transactions on Affective Computing
Metadata
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IEEE We present AMIGOS-- A dataset for Multimodal research of affect, personality traits and mood on Individuals and GrOupS. Different to other databases, we elicited affect using both short and long videos in two social contexts, one with individual viewers and one with groups of viewers. The database allows the multimodal study of people's affective responses, by means of neuro-physiological signals, and their relation with personality, mood, social context and stimuli duration. The data is collected in two experimental settings. In the first one, 40 participants watched 16 short emotional videos. In the second one, they watched 4 long videos, some of them alone and the rest in groups. The participants' signals, namely, Electroencephalogram (EEG), Electrocardiogram (ECG) and Galvanic Skin Response (GSR), were recorded using wearable sensors. Participants' frontal HD video and both RGB and depth full body videos were also recorded. Participants emotions have been annotated with both self-assessment of affective levels (valence, arousal, control, familiarity, liking and basic emotions) and external-assessment of valence and arousal. We present a detailed correlation analysis of the different dimensions as well as baseline methods and results for single-trial classification of valence, arousal, personality traits, mood and social context. The database is publicly available.