{"id":171411,"date":"2014-10-02T20:03:22","date_gmt":"2014-10-02T20:03:22","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/project\/fully-articulated-hand-tracking\/"},"modified":"2019-05-21T02:15:01","modified_gmt":"2019-05-21T09:15:01","slug":"fully-articulated-hand-tracking","status":"publish","type":"msr-project","link":"https:\/\/www.microsoft.com\/en-us\/research\/project\/fully-articulated-hand-tracking\/","title":{"rendered":"Fully Articulated Hand Tracking"},"content":{"rendered":"<div class=\"asset-content\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2016\/02\/fully-articulated-hand-tracking-2-300x300.png\" alt=\"\" width=\"272\" height=\"272\" \/><\/div>\n<div class=\"asset-content\">We present a new real-time articulated hand tracker which can enable new possibilities for human-computer interaction (HCI). Our system accurately reconstructs complex hand poses across a variety of subjects using only a single depth camera. It also allows for a high-degree of robustness, continually recovering from tracking failures. However, the most unique aspect of our tracker is its flexibility in terms of camera placement and operating range.<\/div>\n<p>&nbsp;<\/p>\n<h2><\/h2>\n<h2><\/h2>\n<h2><\/h2>\n<h2>Screenshots<\/h2>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-213937 alignnone\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2014\/10\/handpose_hand1.png\" alt=\"handpose_hand1\" width=\"600\" height=\"105\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2014\/10\/handpose_hand1.png 1942w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2014\/10\/handpose_hand1-300x53.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2014\/10\/handpose_hand1-768x134.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2014\/10\/handpose_hand1-1024x179.png 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2014\/10\/handpose_hand1-1920x340.png 1920w\" sizes=\"(max-width: 600px) 100vw, 600px\" \/><\/p>\n<p><span id=\"a2b68c0c-8760-4850-ac68-08829b95ff5d\" class=\"ImageBlock fn\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-213934 alignnone\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2014\/10\/handpose_hand2.png\" alt=\"handpose_hand2\" width=\"600\" height=\"322\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2014\/10\/handpose_hand2.png 1979w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2014\/10\/handpose_hand2-300x161.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2014\/10\/handpose_hand2-768x412.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2014\/10\/handpose_hand2-1024x550.png 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2014\/10\/handpose_hand2-710x380.png 710w\" sizes=\"(max-width: 600px) 100vw, 600px\" \/><\/span><\/p>\n<p>Please note, we are using a standard Xbox One Kinect without any hardware modifications. The sunglasses are optional and were originally used for anonymity, and partly tongue-in-cheek.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We present a new real-time articulated hand tracker which can enable new possibilities for human-computer interaction (HCI). Our system accurately reconstructs complex hand poses across a variety of subjects using only a single depth camera. It also allows for a high-degree of robustness, continually recovering from tracking failures. However, the most unique aspect of our [&hellip;]<\/p>\n","protected":false},"featured_media":238753,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"research-area":[13556,13562,13554],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-171411","msr-project","type-msr-project","status-publish","has-post-thumbnail","hentry","msr-research-area-artificial-intelligence","msr-research-area-computer-vision","msr-research-area-human-computer-interaction","msr-locale-en_us","msr-archive-status-active"],"msr_project_start":"2014-10-02","related-publications":[238257,241502,167925,168307],"related-downloads":[],"related-videos":[],"related-groups":[],"related-events":[],"related-opportunities":[],"related-posts":[],"related-articles":[],"tab-content":[],"slides":[],"related-researchers":[{"type":"user_nicename","display_name":"Eyal Krupka","user_id":31771,"people_section":"Group 1","alias":"eyalk"},{"type":"user_nicename","display_name":"Tom Cashman","user_id":33914,"people_section":"Group 1","alias":"tcashman"},{"type":"user_nicename","display_name":"David Sweeney","user_id":31553,"people_section":"Group 1","alias":"dasweene"}],"msr_research_lab":[199560,199561],"msr_impact_theme":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/171411"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-project"}],"version-history":[{"count":2,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/171411\/revisions"}],"predecessor-version":[{"id":589021,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/171411\/revisions\/589021"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/238753"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=171411"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=171411"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=171411"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=171411"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=171411"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}