{"id":5635,"date":"2022-01-05T14:04:51","date_gmt":"2022-01-05T13:04:51","guid":{"rendered":"https:\/\/www.eledia.org\/eledia-unitn\/?post_type=news&p=5635"},"modified":"2022-01-05T14:04:51","modified_gmt":"2022-01-05T13:04:51","slug":"owl-opportunistic-wireless-localization-activity-and-gesture-recognition","status":"publish","type":"news","link":"https:\/\/www.eledia.org\/eledia-unitn\/news\/owl-opportunistic-wireless-localization-activity-and-gesture-recognition\/","title":{"rendered":"#OWL: “Opportunistic Wireless Localization, Activity, and Gesture Recognition”"},"content":{"rendered":"\n
\"\"<\/figure><\/div>\n\n\n\n

The ELEDIA Research Center<\/a> is pleased to present the research project #OWL<\/a>. The “Opportunistic Wireless Localization” (OWL) research project provides a simple, scalable, and privacy-aware technology for #indoorlocalization<\/a> and #humanactivity<\/a>#monitoring<\/a>.<\/p>\n\n\n\n

#Humanmachine<\/a> interaction systems based on computer vision suffer from privacy concerns and low-light\/far-distance conditions, but #wirelesssensing<\/a> solutions can overcome such challenges.<\/p>\n\n\n\n

OWL recognizes users’ activities (#location<\/a>, #posture<\/a>, #gesture<\/a>) by exploiting the existing Wi-Fi infrastructure, without the need of any sensor on the user, neither dedicated hardware. The methodology developed at #ELEDIA<\/a> is based on #MIMO<\/a>#EM<\/a> signals sensing and #machine<\/a>#learning<\/a>.
See more at: https:\/\/lnkd.in\/e6NQmcQ3<\/a><\/p>\n\n\n\n

The research activity is carried out by #ELEDIA<\/a>@UniTN (Universit\u00e0 di Trento<\/a>), #ELEDIA<\/a>@TSINGHUA (Tsinghua University<\/a>), and #ELEDIA<\/a>@AUTH (Aristotle University of Thessaloniki (AUTH)<\/a>).<\/p>\n\n\n\n

<\/p>\n\n\n\n

—
#ELEDIA<\/a>\u00a0ELEDIA Research Center<\/a>\u00a0#wireless<\/a>\u00a0#sensing<\/a>\u00a0#WiFi<\/a>\u00a0#CSI<\/a>\u00a0#gesture<\/a>\u00a0#recognition<\/a>\u00a0#hand<\/a>\u00a0#tracking<\/a>\u00a0#privacy<\/a><\/a><\/p>\n","protected":false},"author":1,"featured_media":5636,"template":"","format":"standard","meta":{"footnotes":""},"tags":[],"news_status":[],"news_topic":[92],"class_list":["post","post-type","post-5635","news","type-news","status-publish","format-standard","has-post-thumbnail","hentry","news_topic-news-tech-transfer",""],"acf":[],"_links":{"self":[{"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/news\/5635","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\/5635\/revisions"}],"predecessor-version":[{"id":5638,"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/news\/5635\/revisions\/5638"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/media\/5636"}],"wp:attachment":[{"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/media?parent=5635"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/tags?post=5635"},{"taxonomy":"news_status","embeddable":true,"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/news_status?post=5635"},{"taxonomy":"news_topic","embeddable":true,"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/news_topic?post=5635"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}