{"id":152,"date":"2023-06-14T09:45:55","date_gmt":"2023-06-14T07:45:55","guid":{"rendered":"https:\/\/project.inria.fr\/stressid\/?page_id=152"},"modified":"2023-11-22T12:44:10","modified_gmt":"2023-11-22T11:44:10","slug":"dataset-composition-details","status":"publish","type":"page","link":"https:\/\/project.inria.fr\/stressid\/dataset-composition-details\/","title":{"rendered":"DATASET COMPOSITION DETAILS"},"content":{"rendered":"\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.34%\"><\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.34%\"><\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\"><\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-full is-resized\"><a href=\"https:\/\/project.inria.fr\/stressid\/files\/2023\/06\/Schermata-2023-06-14-alle-13.54.38.png\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/project.inria.fr\/stressid\/files\/2023\/06\/Schermata-2023-06-14-alle-13.54.38.png\" alt=\"\" class=\"wp-image-209\" width=\"765\" height=\"266\" srcset=\"https:\/\/project.inria.fr\/stressid\/files\/2023\/06\/Schermata-2023-06-14-alle-13.54.38.png 1020w, https:\/\/project.inria.fr\/stressid\/files\/2023\/06\/Schermata-2023-06-14-alle-13.54.38-300x104.png 300w, https:\/\/project.inria.fr\/stressid\/files\/2023\/06\/Schermata-2023-06-14-alle-13.54.38-768x267.png 768w, https:\/\/project.inria.fr\/stressid\/files\/2023\/06\/Schermata-2023-06-14-alle-13.54.38-150x52.png 150w\" sizes=\"auto, (max-width: 765px) 100vw, 765px\" \/><\/a><\/figure><\/div>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\"><p>How the Dataset is structured.<\/p><\/blockquote>\n\n\n\n<p>The StressID Dataset contains:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>physiological recordings for 65 subjects,<\/li><li>video recordings for 54 participants, and<\/li><li>audio for 56 participants.<\/li><\/ul>\n\n\n\n<p>Following data collection, we <strong>split each recorded session into individual tasks<\/strong>: one 3 minutes breathing recording (block 1), 2 recordings corresponding to the watching of the video-clips (block 2) of respectively 2 and 3 minutes, 7 separate 1 minute recordings of the interactive tasks (block 3), and a 5 minutes relaxation recording (block 4).<\/p>\n\n\n\n<p>After splitting, StressID consists of approximately 1119 minutes of annotated physiological signals recordings, 918 minutes of video recordings, and 385 minutes of audio.<\/p>\n\n\n\n<p>Dataset composition.<\/p>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:100%\">\n<figure class=\"wp-block-table is-style-stripes\"><table class=\"has-fixed-layout\"><tbody><tr><td class=\"has-text-align-center\" data-align=\"center\">Task\/Stressor<\/td><td class=\"has-text-align-center\" data-align=\"center\">Count physiological (min)<\/td><td class=\"has-text-align-center\" data-align=\"center\">Count video (min)<\/td><td class=\"has-text-align-center\" data-align=\"center\">Count audio (min)<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Breathing<\/td><td class=\"has-text-align-center\" data-align=\"center\">65 (195)<\/td><td class=\"has-text-align-center\" data-align=\"center\">52 (156)<\/td><td class=\"has-text-align-center\" data-align=\"center\">0 (0)<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Video 1<\/td><td class=\"has-text-align-center\" data-align=\"center\">64 (185)<\/td><td class=\"has-text-align-center\" data-align=\"center\">52 (150)<\/td><td class=\"has-text-align-center\" data-align=\"center\">0 (0)<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Video 2<\/td><td class=\"has-text-align-center\" data-align=\"center\">64 (126)<\/td><td class=\"has-text-align-center\" data-align=\"center\">53 (104)<\/td><td class=\"has-text-align-center\" data-align=\"center\">0 (0)<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Counting 1<\/td><td class=\"has-text-align-center\" data-align=\"center\">65 (65)<\/td><td class=\"has-text-align-center\" data-align=\"center\">54 (54)<\/td><td class=\"has-text-align-center\" data-align=\"center\">55 (55)<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Counting 2<\/td><td class=\"has-text-align-center\" data-align=\"center\">65 (65)<\/td><td class=\"has-text-align-center\" data-align=\"center\">54 (54)<\/td><td class=\"has-text-align-center\" data-align=\"center\">55 (55)<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Stroop<\/td><td class=\"has-text-align-center\" data-align=\"center\">65 (65)<\/td><td class=\"has-text-align-center\" data-align=\"center\">54 (54)<\/td><td class=\"has-text-align-center\" data-align=\"center\">55 (55)<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Speaking<\/td><td class=\"has-text-align-center\" data-align=\"center\">65 (65)<\/td><td class=\"has-text-align-center\" data-align=\"center\">54 (54)<\/td><td class=\"has-text-align-center\" data-align=\"center\">55 (55)<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Math<\/td><td class=\"has-text-align-center\" data-align=\"center\">65 (65)<\/td><td class=\"has-text-align-center\" data-align=\"center\">54 (54)<\/td><td class=\"has-text-align-center\" data-align=\"center\">55 (55)<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Reading<\/td><td class=\"has-text-align-center\" data-align=\"center\">65 (65)<\/td><td class=\"has-text-align-center\" data-align=\"center\">54 (54)<\/td><td class=\"has-text-align-center\" data-align=\"center\">55 (55)<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Counting 3<\/td><td class=\"has-text-align-center\" data-align=\"center\">65 (65)<\/td><td class=\"has-text-align-center\" data-align=\"center\">54 (54)<\/td><td class=\"has-text-align-center\" data-align=\"center\">55 (55)<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Relax<\/td><td class=\"has-text-align-center\" data-align=\"center\">63 (158)<\/td><td class=\"has-text-align-center\" data-align=\"center\">52 (130)<\/td><td class=\"has-text-align-center\" data-align=\"center\">0 (0)<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Total<\/td><td class=\"has-text-align-center\" data-align=\"center\">711 (1119)<\/td><td class=\"has-text-align-center\" data-align=\"center\">587 (918)<\/td><td class=\"has-text-align-center\" data-align=\"center\">385 (385)<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div>\n<\/div>\n\n\n\n<p>More technical information can be found <a href=\"https:\/\/project.inria.fr\/stressid\/files\/2023\/11\/Technical-info_final.pdf\" data-type=\"URL\">here<\/a>.<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter\"><img loading=\"lazy\" decoding=\"async\" width=\"478\" height=\"857\" src=\"https:\/\/project.inria.fr\/stressid\/files\/2023\/06\/Summary-1.png\" alt=\"\" class=\"wp-image-214\" srcset=\"https:\/\/project.inria.fr\/stressid\/files\/2023\/06\/Summary-1.png 478w, https:\/\/project.inria.fr\/stressid\/files\/2023\/06\/Summary-1-167x300.png 167w, https:\/\/project.inria.fr\/stressid\/files\/2023\/06\/Summary-1-84x150.png 84w\" sizes=\"auto, (max-width: 478px) 100vw, 478px\" \/><figcaption>Summary of the Dataset.<\/figcaption><\/figure><\/div>\n","protected":false},"excerpt":{"rendered":"<p>How the Dataset is structured. The StressID Dataset contains: physiological recordings for 65 subjects, video recordings for 54 participants, and audio for 56 participants. Following data collection, we split each recorded session into individual tasks: one 3 minutes breathing recording (block 1), 2 recordings corresponding to the watching of the\u2026<\/p>\n<p> <a class=\"continue-reading-link\" href=\"https:\/\/project.inria.fr\/stressid\/dataset-composition-details\/\"><span>Continue reading<\/span><i class=\"crycon-right-dir\"><\/i><\/a> <\/p>\n","protected":false},"author":2341,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-152","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/project.inria.fr\/stressid\/wp-json\/wp\/v2\/pages\/152","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/project.inria.fr\/stressid\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/project.inria.fr\/stressid\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/stressid\/wp-json\/wp\/v2\/users\/2341"}],"replies":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/stressid\/wp-json\/wp\/v2\/comments?post=152"}],"version-history":[{"count":25,"href":"https:\/\/project.inria.fr\/stressid\/wp-json\/wp\/v2\/pages\/152\/revisions"}],"predecessor-version":[{"id":435,"href":"https:\/\/project.inria.fr\/stressid\/wp-json\/wp\/v2\/pages\/152\/revisions\/435"}],"wp:attachment":[{"href":"https:\/\/project.inria.fr\/stressid\/wp-json\/wp\/v2\/media?parent=152"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}