{"id":94,"date":"2017-10-19T22:00:57","date_gmt":"2017-10-20T02:00:57","guid":{"rendered":"http:\/\/mrsdprojects.ri.cmu.edu\/2017teamd\/?page_id=94"},"modified":"2018-05-11T20:50:49","modified_gmt":"2018-05-12T00:50:49","slug":"media","status":"publish","type":"page","link":"https:\/\/mrsdprojects.ri.cmu.edu\/2017teamd\/media\/","title":{"rendered":"Media"},"content":{"rendered":"<p>&nbsp;<\/p>\n<p>The following are recordings of our demo for FVE:<\/p>\n<h2 style=\"text-align: center\">Bimodal Emotion Recognition<\/h2>\n<p>The following video shows bimodal emotion recognition using visual and vocal modes. The achieved accuracy was 50%.<\/p>\n<p><iframe loading=\"lazy\" width=\"980\" height=\"551\" src=\"https:\/\/www.youtube.com\/embed\/Vxg4i80vxK0?feature=oembed\" frameborder=\"0\" allow=\"autoplay; encrypted-media\" allowfullscreen><\/iframe><\/p>\n<h2 style=\"text-align: center\">Face tracking<\/h2>\n<p>The following video shows our one DOF face tracking robot in action in accordance with\u00a0FVE requirements.<\/p>\n<p><iframe loading=\"lazy\" width=\"980\" height=\"735\" src=\"https:\/\/www.youtube.com\/embed\/AIDJlkOml7U?feature=oembed\" frameborder=\"0\" allow=\"autoplay; encrypted-media\" allowfullscreen><\/iframe><\/p>\n<h2 style=\"text-align: center\">Real-time Bimodal Emotion Recognition<\/h2>\n<p><iframe loading=\"lazy\" width=\"980\" height=\"735\" src=\"https:\/\/www.youtube.com\/embed\/XGNKIPKWODU?feature=oembed\" frameborder=\"0\" allow=\"autoplay; encrypted-media\" allowfullscreen><\/iframe><\/p>\n<p><iframe loading=\"lazy\" width=\"980\" height=\"735\" src=\"https:\/\/www.youtube.com\/embed\/yiCokWhgQO4?feature=oembed\" frameborder=\"0\" allow=\"autoplay; encrypted-media\" allowfullscreen><\/iframe><\/p>\n<h2 style=\"text-align: center\">Real-time Trimodal Emotion Recognition<\/h2>\n<p><iframe loading=\"lazy\" width=\"980\" height=\"551\" src=\"https:\/\/www.youtube.com\/embed\/IG6LPBGgOv8?feature=oembed\" frameborder=\"0\" allow=\"autoplay; encrypted-media\" allowfullscreen><\/iframe><\/p>\n","protected":false},"excerpt":{"rendered":"<p>&nbsp; The following are recordings of our demo for FVE: Bimodal Emotion Recognition The following video shows bimodal emotion recognition using visual and vocal modes. The achieved accuracy was 50%. Face tracking The following video shows our one DOF face tracking robot in action in accordance with\u00a0FVE requirements. Real-time Bimodal Emotion Recognition Real-time Trimodal Emotion &#8230; <a href=\"https:\/\/mrsdprojects.ri.cmu.edu\/2017teamd\/media\/\" class=\"more-link text-uppercase small\"><strong>Continue Reading<\/strong> <i class=\"fa fa-angle-double-right\" aria-hidden=\"true\"><\/i><\/a><\/p>\n","protected":false},"author":111,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-94","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/mrsdprojects.ri.cmu.edu\/2017teamd\/wp-json\/wp\/v2\/pages\/94","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mrsdprojects.ri.cmu.edu\/2017teamd\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/mrsdprojects.ri.cmu.edu\/2017teamd\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/mrsdprojects.ri.cmu.edu\/2017teamd\/wp-json\/wp\/v2\/users\/111"}],"replies":[{"embeddable":true,"href":"https:\/\/mrsdprojects.ri.cmu.edu\/2017teamd\/wp-json\/wp\/v2\/comments?post=94"}],"version-history":[{"count":7,"href":"https:\/\/mrsdprojects.ri.cmu.edu\/2017teamd\/wp-json\/wp\/v2\/pages\/94\/revisions"}],"predecessor-version":[{"id":324,"href":"https:\/\/mrsdprojects.ri.cmu.edu\/2017teamd\/wp-json\/wp\/v2\/pages\/94\/revisions\/324"}],"wp:attachment":[{"href":"https:\/\/mrsdprojects.ri.cmu.edu\/2017teamd\/wp-json\/wp\/v2\/media?parent=94"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}