{"id":144470,"date":"2024-03-04T17:19:58","date_gmt":"2024-03-04T16:19:58","guid":{"rendered":"https:\/\/www.gpigroup.com\/?p=144470"},"modified":"2024-03-04T17:26:09","modified_gmt":"2024-03-04T16:26:09","slug":"ai-to-recognise-emotions-in-faces-gpi-signs-scientific-article","status":"publish","type":"post","link":"https:\/\/www.gpigroup.com\/en\/news\/ai-to-recognise-emotions-in-faces-gpi-signs-scientific-article\/","title":{"rendered":"AI to recognise emotions in faces, Gpi signs scientific article"},"content":{"rendered":"

As part of the Parent<\/strong> project, funded by the European Union<\/strong> to study the problems of newborn babies, a scientific article<\/a> on the visual recognition of emotions has been published in “Frontiers in Artificial Intelligence”<\/strong>. Gpi is among the authors of the article with Angelo di Terlizzi, Vision and Innovation Manager of the Research and Development Department, and IT Researcher Syed Adil Hussain Shah.<\/p>\n

Recognising emotions and diseases from faces<\/em><\/strong><\/p>\n

Face recognition is now a widely reached achievement of many different technologies, but the recognition of the emotions those faces express is still a frontier area. The next step is to identify and track disease progression through facial features, aiding in diagnosis and improving patient care, particularly in the presence of neurological disorders, cancers and autism.<\/p>\n

Computer Vision and Deep Learning<\/em><\/strong><\/p>\n

The article discusses an innovative method that combines classical computer vision with Deep Learning for the extraction and identification of facial features, with a very high efficiency of 95 per cent, which is why the publication was accepted. The algorithm is called “Frai” and in the research described it was only applied on adults. However, a tuning phase is currently being concluded that will allow it to also be used to recognise pathologies in children, thus fitting within the scope of Parent.<\/p>\n

Algorithm trained with health data<\/em><\/strong><\/p>\n

The algorithm will be trained using data provided by major health institutions: by learning from images of children who have developed pathologies, it will be possible to use the algorithm’s predictive capacity to detect the same problems in other subjects, helping the doctor to intervene in an early stage. It should be emphasised that the whole project is subject to the strictest rules on respecting people’s privacy.<\/p>\n

Parent project, collaboration at European level<\/em><\/strong><\/p>\n

In the Parent project, Gpi is in a network with high-level organisations: for Italy Politecnico di Torino, Bambino Ges\u00f9 Children’s Hospital and 7HC; for Spain Universidad de C\u00e1diz and Fundaci\u00f3n de la Investigaci\u00f3n Biom\u00e9dica; for Belgium KU Leuven and Icometrix; for Slovenia University of Ljubljana with NEUS Diagnostics; and finally for Switzerland Toelt Advance AI Lab.<\/p>\n","protected":false},"excerpt":{"rendered":"

Published in Frontiers in Artificial Intelligence, as part of the Parent project<\/p>\n","protected":false},"author":19,"featured_media":144458,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2,239],"tags":[],"class_list":["post-144470","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","category-projects-en"],"yoast_head":"\nAI to recognise emotions in faces, Gpi signs scientific article | GPI<\/title>\n<meta name=\"description\" content=\"Published in Frontiers in Artificial Intelligence, as part of the Parent project\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.gpigroup.com\/en\/news\/ai-to-recognise-emotions-in-faces-gpi-signs-scientific-article\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta 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