{"id":10974,"date":"2023-12-22T17:50:21","date_gmt":"2023-12-22T16:50:21","guid":{"rendered":"https:\/\/www.eledia.org\/eledia-unitn\/?post_type=news&p=10974"},"modified":"2024-01-26T17:00:19","modified_gmt":"2024-01-26T16:00:19","slug":"new-post-about-owl-the-eledia-project-for-gesture-recognition-through-wireless-sensing","status":"publish","type":"news","link":"https:\/\/www.eledia.org\/eledia-unitn\/news\/new-post-about-owl-the-eledia-project-for-gesture-recognition-through-wireless-sensing\/","title":{"rendered":"OWL, the ELEDIA Project for Gesture Recognition through Wireless Sensing"},"content":{"rendered":"\n
\"\"<\/figure>\n\n\n\n

OWL: Gesture Recognition through Wireless Sensing ?? ?<\/p>\n\n\n\n

ELEDIA OWL research project introduces a #scalable<\/a> and #privacy<\/a>-conscious #solution<\/a> for #human<\/a>–#machine<\/a>#interactions<\/a> and #gesture<\/a>#recognition<\/a>. The #AI<\/a>-based system utilizes opportunistic wireless sensing, leveraging commodity hardware such as #WiFi<\/a>#access<\/a>#points<\/a>, without the need for any device on the user.<\/p>\n\n\n\n

In this case study, conducted as part of an #extensive<\/a>#experimental<\/a>#validation<\/a> in real-world scenarios, OWL achieved an impressive accuracy rate of over 98.2% in classifying four different gestures performed with the left and right arm.<\/p>\n\n\n\n

Stay connected for further updates on #opportunistic<\/a>#wireless<\/a>#sensing<\/a> and #machine<\/a>#learning<\/a>. Explore more about our research initiatives on our website: https:\/\/lnkd.in\/d5tF3-uC<\/a><\/p>\n\n\n\n

#ELEDIA<\/a>#Research<\/a>#Privacy<\/a>#WirelessSensing<\/a>#Opportunistic<\/a>#GestureRecognition<\/a>#BodyRecognition<\/a>#WiFi<\/a>#MachineLearning<\/a>#DeviceFree<\/a>#AI<\/a><\/p>\n","protected":false},"author":1,"featured_media":10975,"template":"","format":"standard","meta":{"footnotes":""},"tags":[339],"news_status":[],"news_topic":[92],"class_list":["post","post-type","post-10974","news","type-news","status-publish","format-standard","has-post-thumbnail","hentry","tag-eledia-2","news_topic-news-tech-transfer",""],"acf":[],"_links":{"self":[{"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/news\/10974","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/news"}],"about":[{"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/types\/news"}],"author":[{"embeddable":true,"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/users\/1"}],"version-history":[{"count":3,"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/news\/10974\/revisions"}],"predecessor-version":[{"id":11228,"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/news\/10974\/revisions\/11228"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/media\/10975"}],"wp:attachment":[{"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/media?parent=10974"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/tags?post=10974"},{"taxonomy":"news_status","embeddable":true,"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/news_status?post=10974"},{"taxonomy":"news_topic","embeddable":true,"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/news_topic?post=10974"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}