{"id":10811,"date":"2023-11-21T22:51:33","date_gmt":"2023-11-21T21:51:33","guid":{"rendered":"https:\/\/www.eledia.org\/eledia-unitn\/?post_type=news&p=10811"},"modified":"2023-11-21T22:51:33","modified_gmt":"2023-11-21T21:51:33","slug":"empowering-privacy-in-gesture-recognition-with-eledia-owl","status":"publish","type":"news","link":"https:\/\/www.eledia.org\/eledia-unitn\/news\/empowering-privacy-in-gesture-recognition-with-eledia-owl\/","title":{"rendered":"Empowering Privacy in Gesture Recognition with ELEDIA OWL"},"content":{"rendered":"\n
\"\"<\/figure>\n\n\n\n

Empowering Privacy in Gesture Recognition with ELEDIA OWL ? ? ?<\/p>\n\n\n\n

#OWL<\/a> research project introduces a straightforward, #scalable<\/a>, and privacy-conscious #AI<\/a>-based technology for #monitoring<\/a>#human<\/a>#activities<\/a>.<\/p>\n\n\n\n

? Why Choose OWL over Traditional Methods?
While conventional computer vision technologies raise privacy concerns and struggle in low-light or far-distance conditions, OWL #wireless<\/a>#sensing<\/a> solution triumphs over these challenges.
\u2611\ufe0f No video camera
\u2611\ufe0f No microphone
\u2611\ufe0f No devices on the user
\u2611\ufe0f No custom sensing technology
OWL is simply a software that leverages the #existing<\/a>#WiFi<\/a> access points in the room ?<\/p>\n\n\n\n

In various real-world validation scenarios, including varying device and user positions, OWL achieved an remarkable accuracy rate of over 98% in detecting two #user<\/a>‘s #gestures<\/a>.<\/p>\n\n\n\n

Join us on this journey of innovation, and delve deeper on our website: ? https:\/\/lnkd.in\/dyZuGhEG<\/a><\/p>\n\n\n\n

#ELEDIA<\/a>#Research<\/a>#Opportunistic<\/a>#GestureRecognition<\/a>#WirelessSensing<\/a>#MachineLearning<\/a>#BodyRecognition<\/a>#DeviceFree<\/a>#AI<\/a>#WiFi<\/a>#Privacy<\/a>#Innovation<\/a>#Collaboration<\/a><\/p>\n","protected":false},"author":1,"featured_media":10812,"template":"","format":"standard","meta":{"footnotes":""},"tags":[339],"news_status":[],"news_topic":[92],"class_list":["post","post-type","post-10811","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\/10811","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":2,"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/news\/10811\/revisions"}],"predecessor-version":[{"id":10814,"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/news\/10811\/revisions\/10814"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/media\/10812"}],"wp:attachment":[{"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/media?parent=10811"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/tags?post=10811"},{"taxonomy":"news_status","embeddable":true,"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/news_status?post=10811"},{"taxonomy":"news_topic","embeddable":true,"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/news_topic?post=10811"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}