{"id":217,"date":"2016-06-02T10:10:27","date_gmt":"2016-06-02T10:10:27","guid":{"rendered":"http:\/\/wordix.inesctec.pt\/wp-brain\/?page_id=217"},"modified":"2017-01-04T14:21:55","modified_gmt":"2017-01-04T14:21:55","slug":"neurokinect-kinect-based-system-for-motion-analysis-and-quantification-in-neurological-diseases","status":"publish","type":"page","link":"https:\/\/brain.inesctec.pt\/?page_id=217","title":{"rendered":"NeuroKinect: Kinect-based System for Motion Analysis and Quantification in Neurological Diseases"},"content":{"rendered":"<h3 style=\"font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; color: #333333;\"><span style=\"color: #2d82a4;\">Thesis type:\u00a0<\/span><\/h3>\n<p>MSc<\/p>\n<h3 style=\"font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; color: #333333;\"><span style=\"color: #2d82a4;\">Author:<\/span><\/h3>\n<p>Hugo Miguel Pereira Choupina<\/p>\n<h3 style=\"font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; color: #333333;\"><span style=\"color: #2d82a4;\">Supervisor:<\/span><\/h3>\n<p>Jo\u00e3o Paulo Trigueiros da Silva Cunha<\/p>\n<h3 style=\"font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; color: #333333;\"><span style=\"color: #2d82a4;\">Title:<\/span><\/h3>\n<p>NeuroKinect: Kinect-based System for Motion Analysis and Quantification in Neurological Diseases (<a href=\"https:\/\/sigarra.up.pt\/fcnaup\/pt\/\/pub_geral.show_file?pi_gdoc_id=380164\">available here<\/a>)<\/p>\n<h3 style=\"font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; color: #333333;\"><span style=\"color: #2d82a4;\">Abstract:<\/span><\/h3>\n<p style=\"text-align: justify;\">Many neurological diseases, such as Parkinson&#8217;s disease (PD) and epilepsy, can significantly affect patients&#8217; motor function, often leading to a dramatic loss of their quality of life. Human motion analysis is undoubtedly regarded as fundamental towards an early diagnosis and an enhanced follow-up in this type of diseases. In this contribution, NeuroKinect, a markerless system for human motion analysis in neurological diseases is presented. This system includes an RGB-D camera (Microsoft Kinect XBOX 360 and Kinect v2 for XBOX One) and two applications, KiT (KinecTracker) and KiMA (Kinect Motion Analyzer), running in a portable PC, which enable the acquisition, visualization and management of RGB, depth, infrared, body-index and 3D tracking data provided by the sensor. The presented system is a portable, low-cost solution, suitable for use in a clinical environment, which has already been deployed in an Epilepsy Monitoring Unit (in Munich, Germany) and used in multiple healthcare scenarios. In addition, in the Epilepsy scenario, a new tool named KiSA (Kinect Seizure Analyzer) makes use of the RGB-D information from KiT and KiMA to track and quantify uncoordinated seizure movements.<\/p>\n<h3 style=\"font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; color: #333333;\"><\/h3>\n","protected":false},"excerpt":{"rendered":"<p>Thesis type:\u00a0 MSc Author: Hugo Miguel Pereira Choupina Supervisor: Jo\u00e3o Paulo Trigueiros da Silva Cunha Title: NeuroKinect: Kinect-based System for Motion Analysis and Quantification in Neurological Diseases (available here) Abstract: Many neurological diseases, such as Parkinson&#8217;s disease (PD) and epilepsy, can significantly affect patients&#8217; motor function, often leading to a dramatic loss of their quality [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-217","page","type-page","status-publish","czr-hentry"],"_links":{"self":[{"href":"https:\/\/brain.inesctec.pt\/index.php?rest_route=\/wp\/v2\/pages\/217","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/brain.inesctec.pt\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/brain.inesctec.pt\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/brain.inesctec.pt\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/brain.inesctec.pt\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=217"}],"version-history":[{"count":4,"href":"https:\/\/brain.inesctec.pt\/index.php?rest_route=\/wp\/v2\/pages\/217\/revisions"}],"predecessor-version":[{"id":797,"href":"https:\/\/brain.inesctec.pt\/index.php?rest_route=\/wp\/v2\/pages\/217\/revisions\/797"}],"wp:attachment":[{"href":"https:\/\/brain.inesctec.pt\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=217"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}