{"id":3054,"date":"2015-12-16T00:36:30","date_gmt":"2015-12-16T00:36:30","guid":{"rendered":"http:\/\/www.benmgiles.co.uk\/wordpress\/?p=3054"},"modified":"2015-12-16T01:23:10","modified_gmt":"2015-12-16T01:23:10","slug":"video-how-wi-fi-can-identify-and-track-people-through-walls","status":"publish","type":"post","link":"http:\/\/www.benmgiles.co.uk\/wordpress\/?p=3054","title":{"rendered":"Video: How wi-fi can identify and track people through walls"},"content":{"rendered":"<p><a href=\"http:\/\/www.bbc.co.uk\/programmes\/p037xz9w\" target=\"_blank\">http:\/\/www.bbc.co.uk\/click<\/a><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignleft wp-image-2269 size-full\" src=\"http:\/\/www.benmgiles.co.uk\/wordpress\/wp-content\/uploads\/2011\/11\/66.png\" alt=\"66\" width=\"62\" height=\"47\" \/>Researchers at the Massachusetts Institute of Technology&#8217;s (MIT) Computer Science and Artificial Intelligence Laboratory have created a system that can identify people through walls using just wi-fi signals.<\/p>\n<p>The technology works by detecting &#8220;reflections&#8221; created by the signals when they touch other objects, such as human bodies.<\/p>\n<p>By analysing the different characteristics of the &#8220;reflections&#8221;, such as height and build, it can distinguish between 15 different people with 90% accuracy.<\/p>\n<p>Researchers plan to use the device to monitor elderly people, with the intention of detecting and preventing falls and injury in the home.<\/p>\n<p>BBC Click&#8217;s Stephen Beckett spoke to Prof Dina Katabi about the project.<\/p>\n<p><iframe loading=\"lazy\" src=\"http:\/\/www.bbc.co.uk\/programmes\/p037xz9w\/player\" width=\"100%\" height=\"800\" frameborder=\"0\"><\/iframe>\u00a0<img loading=\"lazy\" decoding=\"async\" class=\"alignright size-full wp-image-2921\" src=\"http:\/\/www.benmgiles.co.uk\/wordpress\/wp-content\/uploads\/2014\/09\/99.png\" alt=\"99\" width=\"62\" height=\"47\" \/><\/p>\n","protected":false},"excerpt":{"rendered":"<p>http:\/\/www.bbc.co.uk\/click Researchers at the Massachusetts Institute of Technology&#8217;s (MIT) Computer Science and Artificial Intelligence Laboratory have created a system that can identify people through walls using just wi-fi signals. The technology works by detecting &#8220;reflections&#8221; created by the signals when they touch other objects, such as human bodies. By analysing the different characteristics of the [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":3082,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[23,6],"tags":[],"_links":{"self":[{"href":"http:\/\/www.benmgiles.co.uk\/wordpress\/index.php?rest_route=\/wp\/v2\/posts\/3054"}],"collection":[{"href":"http:\/\/www.benmgiles.co.uk\/wordpress\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.benmgiles.co.uk\/wordpress\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.benmgiles.co.uk\/wordpress\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/www.benmgiles.co.uk\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=3054"}],"version-history":[{"count":27,"href":"http:\/\/www.benmgiles.co.uk\/wordpress\/index.php?rest_route=\/wp\/v2\/posts\/3054\/revisions"}],"predecessor-version":[{"id":3081,"href":"http:\/\/www.benmgiles.co.uk\/wordpress\/index.php?rest_route=\/wp\/v2\/posts\/3054\/revisions\/3081"}],"wp:featuredmedia":[{"embeddable":true,"href":"http:\/\/www.benmgiles.co.uk\/wordpress\/index.php?rest_route=\/wp\/v2\/media\/3082"}],"wp:attachment":[{"href":"http:\/\/www.benmgiles.co.uk\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=3054"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.benmgiles.co.uk\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=3054"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.benmgiles.co.uk\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=3054"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}