{"id":531,"date":"2013-03-11T03:02:28","date_gmt":"2013-03-11T02:02:28","guid":{"rendered":"http:\/\/vrlab.reutlingen-university.de\/web\/?p=531"},"modified":"2016-12-11T17:57:08","modified_gmt":"2016-12-11T16:57:08","slug":"english-is-the-productive-use-of-controlling-applications-via-hand-gestures-already-suitable-a-practical-comparison-of-the-possible-productive-usage-of-the-microsoft-kinect-in-contrast-to-the-newer","status":"publish","type":"post","link":"https:\/\/vrlab.reutlingen-university.de\/web\/en\/531\/english-is-the-productive-use-of-controlling-applications-via-hand-gestures-already-suitable-a-practical-comparison-of-the-possible-productive-usage-of-the-microsoft-kinect-in-contrast-to-the-newer.html","title":{"rendered":"Evaluation and comparison of the Kinect, the Xtion and the LEAP (Hardware and Software)"},"content":{"rendered":"

Is the productive use of controlling applications via Hand gestures already suitable? A practical comparison of the possible productive usage of the Microsoft Kinect<\/em> in contrast to the newer Asus Xtion Pro<\/em>. Our Use Case is to control applications with up to five fingers and gestures known from devices like the iPad, but without touching anything.<\/p>\n

In this Masterproject<\/span>, Arkadius Weister<\/span><\/strong><\/em> and Stanislas Mauser<\/em><\/strong> work on an application, based on our first test run “the FacePuzzle<\/span> version 2 application”, that use Motion Sensing<\/strong> devices to control other applications like a tomography visualizer or a simple image viewer application. The core idea is to translate the gestures to ordinary Multi-Touch gestures and works like a layer over the third party application.<\/p>\n

In this Project we want to analyze, whether the available technical Hardware is already suitable for productive working. Therefore we develop an own software solution, written in C# under usage of the OpenNI SDK<\/em>. We use especially<\/span> the OpenNI SDK<\/em> to be able to use the Kinect<\/em> and the Xtion<\/em> with the same application.
\n\"20130309_Leap_Controller_Stanislas_Mauser_0001\"Moreover for this evaluation question we compare multiple Motion Sense devices. Our primary focus is on the Microsoft Kinect<\/span><\/em> and the Asus Xtion Pro<\/em>, but beyond these two devices we added the new Leap<\/em> controller to our project scope. By adding the Leap device to our scope, we are able to compare two variations<\/span> of the PrimeSense<\/span> technology, with just different technical specifications and a totally other implementation of recording gestures.<\/p>\n

Remark: The Xtion Pro<\/em> camera is faster than the Kinect<\/span><\/em> and has a higher resolution. But both have the PrimeSense<\/span> technology inside. At this time, we don\u00b4t know how the Leap<\/em> device technically is implemented.<\/p>\n

So the hope is, to give any answer to the question: We need better hardware of PrimeSense<\/span> devices? We need totally other devices like the Leap<\/em>? Or a good software implementation with our availably hardware is already sufficiently?<\/p>\n

On These questions and more we two<\/span> want to move on the next few months!<\/p>\n

\"2013_XtionProLive_by_Stanislas_Mauser\"<\/a><\/p>\n

\"20130309_Leap_Controller_Stanislas_Mauser_0002\"<\/a>
\n\"20130309_Leap_Xtion_Kinect_Controller_Stanislas_Mauser_0003\"<\/a><\/p>","protected":false},"excerpt":{"rendered":"

Is the productive use of controlling applications via Hand gestures already suitable? A practical comparison of the possible productive usage […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ngg_post_thumbnail":0,"footnotes":""},"categories":[31,6],"tags":[11,13,14,10,12],"class_list":["post-531","post","type-post","status-publish","format-standard","hentry","category-archivierte-projekte","category-vrlab-projekte","tag-kinect","tag-leap","tag-leap-motion","tag-motion-sensing","tag-xtion"],"_links":{"self":[{"href":"https:\/\/vrlab.reutlingen-university.de\/web\/en\/wp-json\/wp\/v2\/posts\/531","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/vrlab.reutlingen-university.de\/web\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/vrlab.reutlingen-university.de\/web\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/vrlab.reutlingen-university.de\/web\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/vrlab.reutlingen-university.de\/web\/en\/wp-json\/wp\/v2\/comments?post=531"}],"version-history":[{"count":20,"href":"https:\/\/vrlab.reutlingen-university.de\/web\/en\/wp-json\/wp\/v2\/posts\/531\/revisions"}],"predecessor-version":[{"id":1115,"href":"https:\/\/vrlab.reutlingen-university.de\/web\/en\/wp-json\/wp\/v2\/posts\/531\/revisions\/1115"}],"wp:attachment":[{"href":"https:\/\/vrlab.reutlingen-university.de\/web\/en\/wp-json\/wp\/v2\/media?parent=531"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/vrlab.reutlingen-university.de\/web\/en\/wp-json\/wp\/v2\/categories?post=531"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/vrlab.reutlingen-university.de\/web\/en\/wp-json\/wp\/v2\/tags?post=531"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}