AMIGOS: A Dataset for Affect, Personality and Mood Research on Individuals and Groups
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 al...
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| Published in | IEEE transactions on affective computing Vol. 12; no. 2; pp. 479 - 493 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Piscataway
IEEE
01.04.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1949-3045 1949-3045 |
| DOI | 10.1109/TAFFC.2018.2884461 |
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| Abstract | 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 the affective responses, by means of neuro-physiological signals of individuals in relation to their personality and mood, and with respect to the social context and videos' duration. The data is collected in two experimental settings. In the first one, 40 participants watched 16 short emotional videos. In the second one, the participants 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) felt during the videos as well as external-assessment of levels 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 and arousal, personality traits, mood and social context. The database is made publicly available. |
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| AbstractList | 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 the affective responses, by means of neuro-physiological signals of individuals in relation to their personality and mood, and with respect to the social context and videos’ duration. The data is collected in two experimental settings. In the first one, 40 participants watched 16 short emotional videos. In the second one, the participants 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) felt during the videos as well as external-assessment of levels 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 and arousal, personality traits, mood and social context. The database is made publicly available. |
| Author | Sebe, Nicu Miranda-Correa, Juan Abdon Patras, Ioannis Abadi, Mojtaba Khomami |
| Author_xml | – sequence: 1 givenname: Juan Abdon orcidid: 0000-0003-4555-0420 surname: Miranda-Correa fullname: Miranda-Correa, Juan Abdon email: j.a.mirandacorrea@qmul.ac.uk organization: School of Computer Science and Electronic Engineering, Queen Mary University of London, London, United Kingdom – sequence: 2 givenname: Mojtaba Khomami surname: Abadi fullname: Abadi, Mojtaba Khomami email: khomamiabadi@disi.unitn.it organization: Department of Information Engineering and Computer Science, University of Trento, Trento, Italy – sequence: 3 givenname: Nicu orcidid: 0000-0002-6597-7248 surname: Sebe fullname: Sebe, Nicu email: sebe@disi.unitn.it organization: Department of Information Engineering and Computer Science, University of Trento, Trento, Italy – sequence: 4 givenname: Ioannis orcidid: 0000-0003-3913-4738 surname: Patras fullname: Patras, Ioannis email: i.patras@qmul.ac.uk organization: School of Computer Science and Electronic Engineering, Queen Mary University of London, London, United Kingdom |
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| Snippet | We present AMIGOS- A dataset for Multimodal research of affect, personality traits and mood on Individuals and GrOupS. Different to other databases, we... We present AMIGOS– A dataset for Multimodal research of affect, personality traits and mood on Individuals and GrOupS. Different to other databases, we... |
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| SubjectTerms | affect schedules affective computing Arousal Brain modeling Context Correlation analysis Datasets EEG Electrocardiography Electroencephalography Emotion classification Emotion recognition Emotions Galvanic skin response Mood pattern classification Pattern recognition Personality Personality traits physiological signals Physiology Signal processing Video Videos |
| Title | AMIGOS: A Dataset for Affect, Personality and Mood Research on Individuals and Groups |
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