{"id":2386,"date":"2026-02-12T09:51:44","date_gmt":"2026-02-12T07:51:44","guid":{"rendered":"https:\/\/digitaltwinproject.eu\/?p=2386"},"modified":"2026-02-12T09:51:44","modified_gmt":"2026-02-12T07:51:44","slug":"partner-spotlight-politecnico-di-torino-advances-real-time-hand-configuration-recognition","status":"publish","type":"post","link":"https:\/\/digitaltwinproject.eu\/sv\/partner-spotlight-politecnico-di-torino-advances-real-time-hand-configuration-recognition\/","title":{"rendered":"Partner Spotlight: Politecnico di Torino avancerar Real-Time Hand Configuration Recognition"},"content":{"rendered":"<p>Innovation inom digital transformation h\u00e4rr\u00f6r ofta fr\u00e5n tv\u00e4rvetenskaplig forskning. Medan v\u00e5rt projekt fokuserar p\u00e5 industriell till\u00e4mpning av digitala tvillingar, har v\u00e5ra partners p\u00e5 <strong>Politecnico di Turin<\/strong> t\u00e4njer p\u00e5 gr\u00e4nserna f\u00f6r maskinseende och m\u00e4nniska-maskin-interaktion genom sin senaste forskning inom teckenspr\u00e5ksigenk\u00e4nning.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Bryta kommunikationsbarri\u00e4rer med RGB-D-avk\u00e4nning<\/h3>\n\n\n\n<p>I en nyligen publicerad studie i <em>Sensorer<\/em>, forskare fr\u00e5n institutionen f\u00f6r management- och produktionsteknik (DIGEP) och institutionen f\u00f6r biomedicinsk teknik utvecklade ett ramverk f\u00f6r realtidsigenk\u00e4nning av handkonfigurationer i <strong>Italienskt teckenspr\u00e5k (LIS)<\/strong>.<\/p>\n\n\n\n<p>Forskningen behandlar en kritisk komponent av teckenspr\u00e5k: &quot;cheremet&quot;, eller den specifika handformen som anv\u00e4nds under ett teckenspr\u00e5k. Genom att fokusera p\u00e5 dessa konfigurationer som en frist\u00e5ende klassificeringsuppgift har teamet skapat ett mer effektivt s\u00e4tt f\u00f6r datorer att &quot;l\u00e4sa&quot; handformer utan att beh\u00f6va bearbeta en fullst\u00e4ndig, komplex temporal gest.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">S\u00e5 fungerar det: Fr\u00e5n landm\u00e4rken till maskininl\u00e4rning<\/h3>\n\n\n\n<p>Teamets tillv\u00e4gag\u00e5ngss\u00e4tt anv\u00e4nder l\u00e5gkostnadsl\u00f6sningar <strong>RGB-D-kameror<\/strong> (som f\u00e5ngar b\u00e5de f\u00e4rg- och djupinformation) i kombination med sofistikerade bearbetningsverktyg:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>MediaPipe-integration<\/strong>Systemet extraherar 3D-landm\u00e4rken f\u00f6r handen i realtid.<\/li>\n\n\n\n<li><strong>Geometrisk funktionsutvinning<\/strong>Dessa landm\u00e4rken omvandlas till 3D-geometriska egenskaper, s\u00e5som avst\u00e5nden mellan fingertopparna och handflatan, vilka sedan normaliseras f\u00f6r att ta h\u00e4nsyn till olika handstorlekar.<\/li>\n\n\n\n<li><strong>SVM-klassificering<\/strong>En SVM-klassificerare (Support Vector Machine) identifierar sedan den specifika konfigurationen.<\/li>\n<\/ul>\n\n\n\n<p>Resultaten \u00e4r imponerande, och systemet uppn\u00e5r en noggrannhet p\u00e5 <strong>96.8%<\/strong> \u00f6ver 24 distinkta LIS-handkonfigurationer.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Bortom labbet: Potentiella till\u00e4mpningar<\/h3>\n\n\n\n<p>\u00c4ven om det prim\u00e4ra m\u00e5let \u00e4r att underl\u00e4tta kommunikationen f\u00f6r d\u00f6va, har denna typ av h\u00f6gprecisionshandsp\u00e5rning betydande konsekvenser f\u00f6r v\u00e5rt arbete med <strong>Smart tillverkning<\/strong>. F\u00f6rm\u00e5gan f\u00f6r ett system att korrekt k\u00e4nna igen komplexa handkonfigurationer i realtid \u00e4r avg\u00f6rande f\u00f6r:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Avancerat samarbete mellan m\u00e4nniska och robot<\/strong>G\u00f6r det m\u00f6jligt f\u00f6r tekniker att styra industriella cobotar med precisa handgester.<\/li>\n\n\n\n<li><strong>F\u00f6rdjupande utbildning<\/strong>F\u00f6rb\u00e4ttra simuleringar av virtuell verklighet (VR) d\u00e4r exakta handinteraktioner kr\u00e4vs f\u00f6r virtuell montering eller underh\u00e5ll.<\/li>\n<\/ul>\n\n\n\n<p>Vi gratulerar teamet p\u00e5 Politecnico di Torino \u2013 inklusive Luca Ulrich, Giorgia Marullo och Enrico Vezzetti \u2013 till detta bidrag till omr\u00e5det maskinseende. Denna forskning understryker den tekniska excellensen inom v\u00e5rt projektkonsortium och de olika s\u00e4tt p\u00e5 vilka digital modellering formar v\u00e5r framtid.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p><strong>Fullst\u00e4ndig publikation<\/strong>: <em>En 3D-kamerabaserad metod f\u00f6r realtidsigenk\u00e4nning av handkonfigurationer p\u00e5 italienskt teckenspr\u00e5k<\/em>, <a href=\"https:\/\/www.mdpi.com\/1424-8220\/26\/3\/1059\" rel=\"nofollow noopener\" target=\"_blank\">publicerad i Sensorer (2026)<\/a>.<\/p>","protected":false},"excerpt":{"rendered":"<p>Innovation inom digital transformation h\u00e4rr\u00f6r ofta fr\u00e5n tv\u00e4rvetenskaplig forskning. Medan v\u00e5rt projekt fokuserar p\u00e5 industriell till\u00e4mpning av digitala tvillingar,\u2026<\/p>","protected":false},"author":5,"featured_media":2387,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_kad_blocks_custom_css":"","_kad_blocks_head_custom_js":"","_kad_blocks_body_custom_js":"","_kad_blocks_footer_custom_js":"","_kad_post_transparent":"","_kad_post_title":"","_kad_post_layout":"","_kad_post_sidebar_id":"","_kad_post_content_style":"","_kad_post_vertical_padding":"","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"_kad_post_classname":"","footnotes":""},"categories":[79],"tags":[],"class_list":["post-2386","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-research-and-development"],"acf":[],"taxonomy_info":{"category":[{"value":79,"label":"Research and Development"}]},"featured_image_src_large":["https:\/\/digitaltwinproject.eu\/wp-content\/uploads\/2026\/02\/Gemini_Generated_Image_ohzijiohzijiohzi.png",1024,1024,false],"author_info":{"display_name":"Nikolay Tsolev (RCCI)","author_link":"https:\/\/digitaltwinproject.eu\/sv\/author\/ntsolev\/"},"comment_info":0,"category_info":[{"term_id":79,"name":"Research and Development","slug":"research-and-development","term_group":0,"term_taxonomy_id":79,"taxonomy":"category","description":"","parent":0,"count":9,"filter":"raw","cat_ID":79,"category_count":9,"category_description":"","cat_name":"Research and Development","category_nicename":"research-and-development","category_parent":0}],"tag_info":false,"_links":{"self":[{"href":"https:\/\/digitaltwinproject.eu\/sv\/wp-json\/wp\/v2\/posts\/2386","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/digitaltwinproject.eu\/sv\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/digitaltwinproject.eu\/sv\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/digitaltwinproject.eu\/sv\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/digitaltwinproject.eu\/sv\/wp-json\/wp\/v2\/comments?post=2386"}],"version-history":[{"count":1,"href":"https:\/\/digitaltwinproject.eu\/sv\/wp-json\/wp\/v2\/posts\/2386\/revisions"}],"predecessor-version":[{"id":2388,"href":"https:\/\/digitaltwinproject.eu\/sv\/wp-json\/wp\/v2\/posts\/2386\/revisions\/2388"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/digitaltwinproject.eu\/sv\/wp-json\/wp\/v2\/media\/2387"}],"wp:attachment":[{"href":"https:\/\/digitaltwinproject.eu\/sv\/wp-json\/wp\/v2\/media?parent=2386"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/digitaltwinproject.eu\/sv\/wp-json\/wp\/v2\/categories?post=2386"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/digitaltwinproject.eu\/sv\/wp-json\/wp\/v2\/tags?post=2386"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}