{"id":9757,"date":"2015-08-27T20:00:43","date_gmt":"2015-08-28T03:00:43","guid":{"rendered":"https:\/\/blog.digilentinc.com\/?p=9757"},"modified":"2021-06-16T16:06:25","modified_gmt":"2021-06-16T23:06:25","slug":"gesture-detection-device-with-zybo","status":"publish","type":"post","link":"https:\/\/digilent.com\/blog\/gesture-detection-device-with-zybo\/","title":{"rendered":"Gesture Detection Device with ZYBO"},"content":{"rendered":"<div class=\"jetpack-video-wrapper\"><iframe loading=\"lazy\" width=\"735\" height=\"413\" src=\"https:\/\/www.youtube.com\/embed\/MJeOkoYf9R0?feature=oembed\" frameborder=\"0\" allow=\"autoplay; encrypted-media\" allowfullscreen><\/iframe><\/div>\n<p>Have you ever been intrigued by motion sensors? <a href=\"http:\/\/www.instructables.com\/id\/Gesture-detection-based-controlling-device\/\">This Instructable<\/a> by <span class=\"author\"><a title=\"view sebastiangiangu's profile\" href=\"http:\/\/www.instructables.com\/member\/sebastiangiangu\/\" rel=\"author\">sebastiangiangu<\/a>\u00a0shows how this team\u00a0<\/span>designed and developed a gesture detecting engine for the Digilent Design Contest 2015.<\/p>\n<p>This project uses the ZYBO, three PmodMAXSONAR sensors, an LCD monitor with a VGA connector, a VGA cable, a USB to microUSB cable, three 6-pin cable connectors, and a laptop or PC for programming and providing the system power.<\/p>\n<figure id=\"attachment_9816\" aria-describedby=\"caption-attachment-9816\" style=\"width: 600px\" class=\"wp-caption aligncenter\"><a href=\"http:\/\/www.instructables.com\/id\/Gesture-detection-based-controlling-device\/\"><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-9816\" src=\"https:\/\/digilent.com\/blog\/wp-content\/uploads\/2015\/08\/gesture-detection-supplies-600x450.jpg\" alt=\"What you'll need for this project.\" width=\"600\" height=\"450\" srcset=\"https:\/\/digilent.com\/blog\/wp-content\/uploads\/2015\/08\/gesture-detection-supplies-600x450.jpg 600w, https:\/\/digilent.com\/blog\/wp-content\/uploads\/2015\/08\/gesture-detection-supplies.jpg 620w\" sizes=\"auto, (max-width: 600px) 100vw, 600px\" \/><\/a><figcaption id=\"caption-attachment-9816\" class=\"wp-caption-text\">What you&#8217;ll need for this project.<\/figcaption><\/figure>\n<p>After gathering your supplies, install Vivado and Adept. At that point, place the sensors (the PmodMAXSONARs) in the configuration shown below.<\/p>\n<p><a href=\"http:\/\/www.instructables.com\/id\/Gesture-detection-based-controlling-device\/\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-medium wp-image-9815\" src=\"https:\/\/digilent.com\/blog\/wp-content\/uploads\/2015\/08\/Instructables-gesture-detect-pmodmaxsonar-600x386.jpg\" alt=\"Instructables-gesture-detect-pmodmaxsonar\" width=\"600\" height=\"386\" srcset=\"https:\/\/digilent.com\/blog\/wp-content\/uploads\/2015\/08\/Instructables-gesture-detect-pmodmaxsonar-600x386.jpg 600w, https:\/\/digilent.com\/blog\/wp-content\/uploads\/2015\/08\/Instructables-gesture-detect-pmodmaxsonar.jpg 620w\" sizes=\"auto, (max-width: 600px) 100vw, 600px\" \/><\/a><\/p>\n<p>Attach all of the components to the computer and make sure they&#8217;re all connected. Upload the specified files to the ZYBO. Once all of your files are ready, the gesture identification engine will analyze the data received from the sensors to see if there&#8217;s a recognizable pattern. It ignores random patterns produced accidentally.<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<div class='watch-action'><div class='watch-position align-left'><div class='action-like'><a class='lbg-style6 like-9757 jlk' data-task='like' data-post_id='9757' data-nonce='ac068a413b' rel='nofollow'><img src='https:\/\/digilent.com\/blog\/wp-content\/plugins\/wti-like-post-pro\/images\/pixel.gif' title='Like' \/><span class='lc-9757 lc'>0<\/span><\/a><\/div><div class='action-unlike'><a class='unlbg-style6 unlike-9757 jlk' data-task='unlike' data-post_id='9757' data-nonce='ac068a413b' rel='nofollow'><img src='https:\/\/digilent.com\/blog\/wp-content\/plugins\/wti-like-post-pro\/images\/pixel.gif' title='Unlike' \/><span class='unlc-9757 unlc'>0<\/span><\/a><\/div><\/div> <div class='status-9757 status align-left'>Be the 1st to vote.<\/div><\/div><div class='wti-clear'><\/div>","protected":false},"excerpt":{"rendered":"<p>Have you ever been intrigued by motion sensors? This Instructable by sebastiangiangu shows how this team designed and developed a gesture detecting engine for the Digilent Design Contest 2015.<\/p>\n","protected":false},"author":7,"featured_media":9815,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[4327,35,1561],"tags":[453,36],"ppma_author":[4464],"class_list":["post-9757","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-projects","category-fpga","category-applications","tag-vivado","tag-xilinx"],"jetpack_featured_media_url":"https:\/\/digilent.com\/blog\/wp-content\/uploads\/2015\/08\/Instructables-gesture-detect-pmodmaxsonar.jpg","jetpack_sharing_enabled":true,"authors":[{"term_id":4464,"user_id":7,"is_guest":0,"slug":"amber_mear","display_name":"Amber Mear","avatar_url":"https:\/\/secure.gravatar.com\/avatar\/d0fc56ab4035f79884675bde2a948e84c1d14dd33b730b4c142dde6f1a962395?s=96&d=mm&r=g","1":"","2":"","3":"","4":"","5":"","6":"","7":"","8":"","9":"","10":""}],"post_mailing_queue_ids":[],"_links":{"self":[{"href":"https:\/\/digilent.com\/blog\/wp-json\/wp\/v2\/posts\/9757","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/digilent.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/digilent.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/digilent.com\/blog\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/digilent.com\/blog\/wp-json\/wp\/v2\/comments?post=9757"}],"version-history":[{"count":0,"href":"https:\/\/digilent.com\/blog\/wp-json\/wp\/v2\/posts\/9757\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/digilent.com\/blog\/wp-json\/wp\/v2\/media\/9815"}],"wp:attachment":[{"href":"https:\/\/digilent.com\/blog\/wp-json\/wp\/v2\/media?parent=9757"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/digilent.com\/blog\/wp-json\/wp\/v2\/categories?post=9757"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/digilent.com\/blog\/wp-json\/wp\/v2\/tags?post=9757"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/digilent.com\/blog\/wp-json\/wp\/v2\/ppma_author?post=9757"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}