{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/amigos-a-dataset-for-affect-personality-and","title":"AMIGOS: A Dataset for Affect, Personality and Mood Research on Individuals and Groups","arxiv_id":"1702.02510","date":"2017-04-13","proceeding":null,"authors":[],"abstract":"We present AMIGOS-- A dataset for Multimodal research of affect, personality\ntraits and mood on Individuals and GrOupS. Different to other databases, we\nelicited affect using both short and long videos in two social contexts, one\nwith individual viewers and one with groups of viewers. The database allows the\nmultimodal study of the affective responses, by means of neuro-physiological\nsignals of individuals in relation to their personality and mood, and with\nrespect to the social context and videos' duration. The data is collected in\ntwo experimental settings. In the first one, 40 participants watched 16 short\nemotional videos. In the second one, the participants watched 4 long videos,\nsome of them alone and the rest in groups. The participants' signals, namely,\nElectroencephalogram (EEG), Electrocardiogram (ECG) and Galvanic Skin Response\n(GSR), were recorded using wearable sensors. Participants' frontal HD video and\nboth RGB and depth full body videos were also recorded. Participants emotions\nhave been annotated with both self-assessment of affective levels (valence,\narousal, control, familiarity, liking and basic emotions) felt during the\nvideos as well as external-assessment of levels of valence and arousal. We\npresent a detailed correlation analysis of the different dimensions as well as\nbaseline methods and results for single-trial classification of valence and\narousal, personality traits, mood and social context. The database is made\npublicly available.","url_abs":"http://arxiv.org/abs/1702.02510v3","url_pdf":"http://arxiv.org/pdf/1702.02510v3.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[],"tasks":[{"task_slug":"continuous-affect-estimation","task_name":"Continuous Affect Estimation"},{"task_slug":"eeg-1","task_name":"EEG"},{"task_slug":"eeg","task_name":"Electroencephalogram (EEG)"}],"methods":[],"datasets_introduced":[{"slug":"amigos","name":"AMIGOS","full_name":"AMIGOS: A Dataset for Affect, Personality and Mood Research on Individuals and Groups"}],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}