{"id":47,"date":"2025-01-28T08:06:18","date_gmt":"2025-01-28T08:06:18","guid":{"rendered":"https:\/\/capsarii.deib.polimi.it\/?p=47"},"modified":"2025-01-28T08:06:18","modified_gmt":"2025-01-28T08:06:18","slug":"capsarii-hipeac-2025","status":"publish","type":"post","link":"https:\/\/capsarii.deib.polimi.it\/?p=47","title":{"rendered":"CAPSARII @ HiPEAC 2025"},"content":{"rendered":"\n<p>The <strong>EDF CAPSARII<\/strong> project debuted with a <a href=\"https:\/\/capsarii.deib.polimi.it\/wp-content\/uploads\/2025\/01\/POSTER_V2.2.2-1.pdf\" data-type=\"attachment\" data-id=\"50\">poster<\/a> presented at the <strong>HiPEAC Conference 2025<\/strong>, held this week in Barcelona, by Prof. Stefano Cherubin (NTNU) and Prof. Giovanni Agosta (PoliMi).<\/p>\n\n\n\n<p>CAPSARII aims at developing an innovative smart textile\/wearable device and related ICT framework to display raw health data and Machine Learning (ML)-derived insights, designed specifically for military staff, which aligns with the concept of the <em>Internet of Battlefield Things<\/em> (IoBT), driven by Artificial Intelligence (AI) and edge computing, aiming to transform the monitoring of soldiers\u2019 psycho-physical conditions and the evaluation of their performance, both in combat and training scenarios, thus allowing for real-time health status assessments through a specialized ML model.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"576\" height=\"1024\" src=\"https:\/\/capsarii.deib.polimi.it\/wp-content\/uploads\/2025\/01\/photo_capsarii2025-576x1024.jpg\" alt=\"\" class=\"wp-image-48\" srcset=\"https:\/\/capsarii.deib.polimi.it\/wp-content\/uploads\/2025\/01\/photo_capsarii2025-576x1024.jpg 576w, https:\/\/capsarii.deib.polimi.it\/wp-content\/uploads\/2025\/01\/photo_capsarii2025-169x300.jpg 169w, https:\/\/capsarii.deib.polimi.it\/wp-content\/uploads\/2025\/01\/photo_capsarii2025.jpg 720w\" sizes=\"auto, (max-width: 576px) 100vw, 576px\" \/><\/figure>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The EDF CAPSARII project debuted with a poster presented at the HiPEAC Conference 2025, held this week in Barcelona, by Prof. Stefano Cherubin (NTNU) and Prof. Giovanni Agosta (PoliMi). CAPSARII aims at developing an innovative smart textile\/wearable device and related ICT framework to display raw health data and Machine Learning (ML)-derived insights, designed specifically for [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-47","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/capsarii.deib.polimi.it\/index.php?rest_route=\/wp\/v2\/posts\/47","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/capsarii.deib.polimi.it\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/capsarii.deib.polimi.it\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/capsarii.deib.polimi.it\/index.php?rest_route=\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/capsarii.deib.polimi.it\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=47"}],"version-history":[{"count":2,"href":"https:\/\/capsarii.deib.polimi.it\/index.php?rest_route=\/wp\/v2\/posts\/47\/revisions"}],"predecessor-version":[{"id":51,"href":"https:\/\/capsarii.deib.polimi.it\/index.php?rest_route=\/wp\/v2\/posts\/47\/revisions\/51"}],"wp:attachment":[{"href":"https:\/\/capsarii.deib.polimi.it\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=47"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/capsarii.deib.polimi.it\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=47"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/capsarii.deib.polimi.it\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=47"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}