{"id":790,"date":"2022-03-09T10:53:30","date_gmt":"2022-03-09T09:53:30","guid":{"rendered":"https:\/\/web.umons.ac.be\/isia\/?p=790"},"modified":"2023-06-26T21:55:17","modified_gmt":"2023-06-26T19:55:17","slug":"publication220301","status":"publish","type":"post","link":"https:\/\/web.umons.ac.be\/isia\/en\/publication220301\/","title":{"rendered":"A new journal paper has been published 22\/03"},"content":{"rendered":"

The article has been published in March 2022 by informatics<\/a> journal.<\/p>\n

Title<\/strong><\/p>\n

Where is my mind (looking at)? A study of the EEG-Visual Attention Relationship.<\/p><\/blockquote>\n

Authors<\/strong><\/p>\n

Victor Delvigne, No\u00e9 Tits, Luca La Fisca, Nathan Hubens, Antoine Maiorca, Hazem Wannous, Thierry Dutoit, Jean-Philippe Vandeborre<\/p>\n

Abstract<\/strong><\/p>\n

Visual attention estimation is an active field of research at the crossroads of different disciplines: computer vision, deep learning, and medicine. One of the most common approaches to estimate a saliency map representing attention is based on the observed images. In this paper, we show that visual attention can be retrieved from EEG acquisition. The results are comparable to traditional predictions from observed images, which is of great interest. Image-based saliency estimation being participant independent, the estimation from EEG could take into account the subject specificity. For this purpose, a set of signals has been recorded, and different models have been developed to study the relationship between visual attention and brain activity. The results are encouraging and comparable with other approaches estimating attention with other modalities. Being able to predict a visual saliency map from EEG could help in research studying the relationship between brain activity and visual attention. It could also help in various applications: vigilance assessment during driving, neuromarketing, and also in the help for the diagnosis and treatment of visual attention-related diseases. For the sake of reproducibility, the codes and dataset considered in this paper have been made publicly available to promote research in the field.<\/p>\n

 <\/p>\n

The full article: https:\/\/www.mdpi.com\/2227-9709\/9\/1\/26<\/a><\/p>\n

 <\/p>\n

\"\"<\/p>\n","protected":false},"excerpt":{"rendered":"

A new journal article from ISIA Lab has been published. The article is titled:
\n\u00ab\u00a0Where is my mind (looking at)? A study of the EEG-Visual Attention Relationship.\u00a0\u00bb
\nCongrats to ISIA Lab researchers: Victor Delvigne, Luca La Fisca, Nathan Hubens, Antoine Maiorca, and Thierry Dutoit.<\/p>\n","protected":false},"author":233,"featured_media":575,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[34],"tags":[],"class_list":["post-790","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-research"],"yoast_head":"\nA new journal paper has been published 22\/03 - Service \/ FPMS - Information, Signal, et Intelligence Artificielle<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/web.umons.ac.be\/isia\/en\/publication220301\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"A new journal paper has been published 22\/03 - Service \/ FPMS - Information, Signal, et Intelligence Artificielle\" \/>\n<meta property=\"og:description\" content=\"A new journal article from ISIA Lab has been published. The article is titled: "Where is my mind (looking at)? A study of the EEG-Visual Attention Relationship." 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