The DOI matches its Crossref record; 65 of the 65 references it cites were found in a registry or an index.
AMIGOS: A Dataset for Affect, Personality and Mood Research on Individuals and Groups
Open accessAbstract
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
1 retracted
Liu, M., Fan, D., Zhang, X., & Gong, X. (2016) · 2016 International Conference on Smart City and Systems Engineering (ICSCSE) · doi:10.1109/icscse.2016.0051 · Cited by 57
RetractedCoefficient Alpha and the Internal Structure of Tests
Cronbach, L. J. (1951) · Psychometrika · doi:10.1007/bf02310555 · Cited by 43,931
Development and validation of brief measures of positive and negative affect: The PANAS scales.
Watson, D., Clark, L. A., & Tellegen, A. (1988) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.54.6.1063 · Cited by 32,433
Russell, J. A. (1980) · Journal of Personality and Social Psychology · doi:10.1037/h0077714 · Cited by 16,334 · cited 1×
“Russell [18] introduced the Circumplex Model of Affect, where affective states are represented in a two dimensional space with arousal (the degree an emotion feels active) and valence (the degree an emotion feels pleasant) as the main dimensions.”
BackgroundAn Introduction to Support Vector Machines and Other Kernel-based Learning Methods
Cristianini, N., & Shawe-Taylor, J. (2000) · doi:10.1017/cbo9780511801389 · Cited by 13,855
(1932) · Medical Entomology and Zoology · Cited by 9,568
A very brief measure of the Big-Five personality domains
Gosling, S. D., Rentfrow, P. J., & Swann, W. B. (2003) · Journal of Research in Personality · doi:10.1016/s0092-6566(03)00046-1 · Cited by 8,307
Jolliffe, I. T. (1986) · Springer Series in Statistics · doi:10.1007/978-1-4757-1904-8 · Cited by 8,273
An Introduction to the Five‐Factor Model and Its Applications
McCrae, R. R., & John, O. P. (1992) · Journal of Personality · doi:10.1111/j.1467-6494.1992.tb00970.x · Cited by 6,835
(2005) · CTIT technical reports series · Cited by 5,307
Cited by
Bota, P. J., Wang, C., Fred, A. L. N., & Placido Da Silva, H. (2019) · IEEE Access · doi:10.1109/access.2019.2944001 · Cited by 322
Santamaria-Granados, L., Munoz-Organero, M., Ramirez-Gonzalez, G., Abdulhay, E., & Arunkumar, N. (2019) · IEEE Access · doi:10.1109/access.2018.2883213 · Cited by 289
Feature Extraction and Selection for Emotion Recognition from Electrodermal Activity
Shukla, J., Barreda-Angeles, M., Oliver, J., Nandi, G. C., & Puig, D. (2021) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2019.2901673 · Cited by 253
Emotion recognition in EEG signals using deep learning methods: A review
Jafari, M., Shoeibi, A., Khodatars, M., Bagherzadeh, S., Shalbaf, A., García, D. L., Gorriz, J. M., & Acharya, U. R. (2023) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2023.107450 · Cited by 240
Self-Supervised Learning for ECG-Based Emotion Recognition
Sarkar, P., & Etemad, A. (2020) · ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) · doi:10.1109/icassp40776.2020.9053985 · Cited by 146
Metadata
- Authors
- Miranda-Correa, J. A., Abadi, M. K., Sebe, N., & Patras, I.
- Venue
- IEEE Transactions on Affective Computing
- Published
- 2021-04-01
- Volume
- 12
- Issue
- 2
- Pages
- 479-493
- ISSN
- 1949-3045 (ISSN-L)
- 2371-9850
- OpenAlex
- W2731964405
- Cited by
- 709
- References
- 65
- FWCI
- 47.20
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: AMIGOS: A Dataset for Affect, Personality and Mood Research on Individuals and Groups. https://app.cochat.ai/papers/10.1109/taffc.2018.2884461
- The paper
- Miranda-Correa, J. A., Abadi, M. K., Sebe, N., & Patras, I. (2021). AMIGOS: A Dataset for Affect, Personality and Mood Research on Individuals and Groups. IEEE Transactions on Affective Computing. https://doi.org/10.1109/taffc.2018.2884461
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
