{"id":6034,"date":"2026-04-07T17:23:00","date_gmt":"2026-04-07T14:23:00","guid":{"rendered":"https:\/\/netlab.media\/?p=6034"},"modified":"2026-04-07T17:32:28","modified_gmt":"2026-04-07T14:32:28","slug":"hareket-yakalama-teknolojileri","status":"publish","type":"post","link":"https:\/\/netlab.media\/en\/blog\/hareket-yakalama-teknolojileri\/","title":{"rendered":"Hareket Yakalama Teknolojileri | Motion Capture"},"content":{"rendered":"<div data-row-text-color=\"dark\" style=\" \" class=\"vc_row wpb_row zolo_wpb_row vc_row-fluid apress_row_class_179595514069e311bc993f1\"><div class=\"wpb_column vc_column_container vc_col-sm-12 apress_col_id_165757825969e311bc9a671 hover_style_none\"><div class=\"layer vc_column-inner\"  ><div class=\"wpb_wrapper\"><div class=\"vc_message_box vc_message_box-standard vc_message_box-square vc_color-grey\" ><div class=\"vc_message_box-icon\"><i class=\"far fa-hand-point-right\"><\/i><\/div><p>Tahmini Okuma S\u00fcresi: 13 Dk.\u00a0 | Zorluk Seviyesi: Orta<\/p>\n<p>Ses De\u015fifre ve Metin: Cafer Bayrak | Edit\u00f6r: Nil\u00fcfer P\u0131nar K\u0131l\u0131\u00e7 &#8211; E. \u015eafak Dikmen | Sayfa d\u00fczeni ve g\u00f6rselle\u015ftirme: E. \u015eafak Dikmen<\/p>\n<p>\u0130\u00e7indekiler: Keyframe Y\u00f6ntemi | Hareket Yakalama | Donan\u0131m Ekosistemi | Sistem Kalibrasyonu | Terimler ve A\u00e7\u0131klamalar<\/p>\n<\/div>\n\t<div class=\"wpb_text_column wpb_content_element\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<p>Bir karakterin ger\u00e7ek\u00e7i g\u00f6r\u00fcnmesini sa\u011flayan \u015fey \u00e7o\u011fu zaman d\u00fc\u015f\u00fcnd\u00fc\u011f\u00fcm\u00fcz gibi yaln\u0131zca animasyon de\u011fildir; as\u0131l belirleyici olan, insan bedeninden \u00fcretilen veridir. NETlab Teknoloji Seminerleri kapsam\u0131nda bu kez odak noktam\u0131z, dijital animasyonun en kritik altyap\u0131lar\u0131ndan biri olan hareket yakalama (motion capture) teknolojileriydi. Ankara merkezli Sense4Motion firmas\u0131yla 12 Mart 2026 tarihinde ger\u00e7ekle\u015ftirdi\u011fimiz bulu\u015fmada, bu teknolojinin nas\u0131l \u00e7al\u0131\u015ft\u0131\u011f\u0131n\u0131 ve yarat\u0131c\u0131 end\u00fcstrilerde neden bu kadar merkezi bir konuma yerle\u015fti\u011fini birlikte d\u00fc\u015f\u00fcnme f\u0131rsat\u0131 bulduk.<\/p>\n<h5><b>Karekareden Harekete: Keyframe Y\u00f6nteminin S\u0131n\u0131rlar\u0131 ve Hareket Yakalama Teknolojisinin Y\u00fckseli\u015fi<\/b><\/h5>\n<p>Animasyon \u00fcretimi uzun y\u0131llar boyunca keyframe y\u00f6ntemiyle ilerledi. Bu y\u00f6ntemde hareket, animat\u00f6r taraf\u0131ndan kare kare in\u015fa edilir;\u00a0 hareket, ba\u015ftan sona tasarlan\u0131r. Ancak insan hareketinin do\u011fall\u0131\u011f\u0131n\u0131 bu \u015fekilde \u00fcretmek hem \u00e7ok zaman al\u0131r hem de \u00e7o\u011fu zaman belirli s\u0131n\u0131rlar i\u00e7erisinde kal\u0131r. Hareketin ak\u0131\u015fkanl\u0131\u011f\u0131, k\u00fc\u00e7\u00fck jestler ve mikro hareketler bu y\u00f6ntemde kolayl\u0131kla kaybolur. Motion capture teknolojisinin y\u00fckseli\u015fi bu s\u0131n\u0131rl\u0131l\u0131kla ili\u015fkilidir. Bu sistemlerde hareket tasarlanmaz; do\u011frudan kaydedilir. \u0130nsan\u0131n v\u00fccuduna yerle\u015ftirilen sens\u00f6rler arac\u0131l\u0131\u011f\u0131yla elde edilen veriler yaz\u0131l\u0131m ortam\u0131nda i\u015flenir ve e\u015fzamanl\u0131 olarak dijital bir karaktere aktar\u0131l\u0131r. B\u00f6ylece animasyon, temsil edilen bir hareket olmaktan \u00e7\u0131kar, \u00f6l\u00e7\u00fclm\u00fc\u015f ve yeniden \u00fcretilmi\u015f bir harekete d\u00f6n\u00fc\u015f\u00fcr.<\/p>\n<p>Bu noktada hareket yakalama sistemlerini tek bir cihaz olarak d\u00fc\u015f\u00fcnmek yan\u0131lt\u0131c\u0131 olur. Hareket yakalama teknolojisi, birlikte \u00e7al\u0131\u015fan farkl\u0131 yaz\u0131l\u0131m ve donan\u0131mlardan olu\u015fan sistemler b\u00fct\u00fcn\u00fcd\u00fcr. Etkinlikte tan\u0131t\u0131lan Xsens sistemi bu yap\u0131n\u0131n temel bile\u015fenlerinden birini olu\u015fturuyordu. V\u00fccudun belirli noktalar\u0131na yerle\u015ftirilen sens\u00f6rler, hareketin y\u00f6n\u00fcn\u00fc ve ivmesini \u00f6l\u00e7erek s\u00fcrekli veri \u00fcretir. Bu sistemin \u00f6nemli avantajlar\u0131ndan biri, kamera kurulumuna ihtiya\u00e7 duymadan farkl\u0131 mek\u00e2nlarda \u00e7al\u0131\u015fabilmesidir. \u00dcretilen bu ham veriler, yaz\u0131l\u0131m katman\u0131nda i\u015flenerek anlaml\u0131 bir iskelet yap\u0131s\u0131na d\u00f6n\u00fc\u015ft\u00fcr\u00fcl\u00fcr.<\/p>\n<p>Ancak hareket yaln\u0131zca b\u00fcy\u00fck kas gruplar\u0131ndan ibaret de\u011fildir. \u00d6zellikle parmak hareketleri ve ince motor beceriler, animasyon \u00fcretiminde en zor alanlardan birini olu\u015fturur. Bu noktada Manus eldivenleri devreye girer. Parmaklar\u0131n tek tek hareketini yakalayabilen bu sistem, karakterin inand\u0131r\u0131c\u0131l\u0131\u011f\u0131n\u0131 ciddi bi\u00e7imde art\u0131r\u0131r. Benzer \u015fekilde y\u00fcz mimiklerinin aktar\u0131m\u0131 i\u00e7in kullan\u0131lan Faceware gibi sistemler, karaktere duygu katman\u0131 ekler. Burada dikkat \u00e7ekici olan \u015fey, bu teknolojilerin hi\u00e7birinin tek ba\u015f\u0131na anlaml\u0131 olmamas\u0131d\u0131r. Hareket yakalama, par\u00e7al\u0131 bir teknoloji de\u011fil; b\u00fct\u00fcnle\u015fik bir \u00fcretim s\u00fcrecidir. V\u00fccut, el ve y\u00fcz verileri ancak birlikte i\u015flendi\u011finde ger\u00e7ek\u00e7i bir sonu\u00e7 ortaya \u00e7\u0131kar.<\/p>\n\n\t\t<\/div>\n\t<\/div>\n\n\t<div class=\"wpb_video_widget wpb_content_element vc_clearfix   vc_video-aspect-ratio-169 vc_video-el-width-80 vc_video-align-center\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t\n\t\t\t<div class=\"wpb_video_wrapper\"><iframe loading=\"lazy\" title=\"Hareketi Veriye D\u00f6n\u00fc\u015ft\u00fcrmek: Motion Capture (MoCap) At\u00f6lyesi | Netlab Teknoloji Seminerleri\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/Qi6j4LVc410?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/div>\n\t\t<\/div>\n\t<\/div>\n\n\t<div class=\"wpb_text_column wpb_content_element\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<h4 data-path-to-node=\"0\">V\u00fccut hareket yakalama sistemi<\/h4>\n<p data-path-to-node=\"0\">Xsens (Movella) tam v\u00fccut hareket yakalama sisteminde standart olarak <b data-path-to-node=\"0\" data-index-in-node=\"70\">17 adet<\/b> kablosuz IMU (Inertial Measurement Unit) sens\u00f6r\u00fc kullan\u0131l\u0131r. Bu sens\u00f6rler, insan iskelet yap\u0131s\u0131n\u0131n biyomekanik verisini en do\u011fru \u015fekilde dijitalle\u015ftirmek i\u00e7in stratejik eklem ve kemik segmentleri \u00fczerine yerle\u015ftirilir.<\/p>\n<h5 style=\"text-align: center;\" data-path-to-node=\"1\">Sens\u00f6rlerin V\u00fccuttaki Da\u011f\u0131l\u0131m\u0131<\/h5>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><\/div><\/div><div data-row-text-color=\"dark\" style=\" \" class=\"vc_row wpb_row zolo_wpb_row vc_row-fluid apress_row_class_145735133769e311bc9cb54\"><div class=\"wpb_column vc_column_container vc_col-sm-6 apress_col_id_213422005669e311bc9d091 hover_style_none\"><div class=\"layer vc_column-inner\"  ><div class=\"wpb_wrapper\"><div class='ult_hotspot_container ult-adjust-bottom-margin ult-hotspot-tooltip-wrapper' style=\"\">  <img class='ult_hotspot_image' src=\"https:\/\/netlab.media\/wp-content\/uploads\/2026\/04\/netlab_giyilebilir_teknolojiler.jpg\" alt='null'\/>     <div class='utl-hotspot-items ult-hotspot-item'><div class='ult-hotspot-item' style='top:-webkit-calc(28.802222696940106% - 16px);top:-moz-calc(28.802222696940106% - 16px);top:calc(28.802222696940106% - 16px);left: -webkit-calc(37.86666666666667% - 16px);left: -moz-calc(37.86666666666667% - 16px);left: calc(37.86666666666667% - 16px);' >  <div style='z-index: 39;position: relative;'>   <a data-link_style='tootip' data-mycust-id=\"hotspot-tooltip-6321\"  data-ultimate-target='#hotspot-tooltip-6321 .ult-tooltipster-content'  data-responsive-json-new='{\"font-size\":\"\",\"line-height\":\"\"}' data-tooltip-content-style=\"width:300px;\"data-tooltip-base-style=\"background-color:#ffffff;color:#4c4c4c;\" data-bubble-arrow=\"true\" data-tooltip-offsety=\"16\"data-arrowposition=\"bottom\" class='ult-tooltipstered ult-hotspot-tooltip' href='#' data-status='show'><div class=\"ult-just-icon-wrapper\"><div class=\"align-icon\" style=\"text-align:center;\">\n<div class=\"aio-icon circle\"  style=\"font-size:32px;display:inline-block;\">\n\t<i class=\"Defaults-info-circle\"><\/i>\n<\/div><\/div><\/div><span class='hotspot-tooltip-content'>\n&lt;h5 data-path-to-node=&quot;&amp;#039;2,0,0&amp;#039;&quot;&gt;&lt;b data-path-to-node=&quot;&amp;#039;2,0,0&amp;#039;&quot; data-index-in-node=&quot;&amp;#039;0&amp;#039;&quot;&gt;G&ouml;vde ve Ba\u015f (3 Adet):&lt;\/b&gt;&lt;\/h5&gt;\n&lt;p style=&quot;&amp;#039;text-align:&quot; left;&amp;#039; data-path-to-node=&quot;&amp;#039;2,0,1,0,0&amp;#039;&quot;&gt;&lt;b data-path-to-node=&quot;&amp;#039;2,0,1,0,0&amp;#039;&quot; data-index-in-node=&quot;&amp;#039;0&amp;#039;&quot;&gt;Pelvis (Le\u011fen Kemi\u011fi):&lt;\/b&gt; Hareketin a\u011f\u0131rl\u0131k merkezini belirlemek i&ccedil;in belin arka k\u0131sm\u0131na.&lt;\/p&gt;\n&lt;p style=&quot;&amp;#039;text-align:&quot; left;&amp;#039; data-path-to-node=&quot;&amp;#039;2,0,1,1,0&amp;#039;&quot;&gt;&lt;b data-path-to-node=&quot;&amp;#039;2,0,1,1,0&amp;#039;&quot; data-index-in-node=&quot;&amp;#039;0&amp;#039;&quot;&gt;Sternum (G&ouml;\u011f&uuml;s Kemi\u011fi):&lt;\/b&gt; &Uuml;st g&ouml;vde takibi i&ccedil;in g&ouml;\u011f&uuml;s kafesinin &uuml;zerine.&lt;\/p&gt;\n&lt;p style=&quot;&amp;#039;text-align:&quot; left;&amp;#039; data-path-to-node=&quot;&amp;#039;2,0,1,2,0&amp;#039;&quot;&gt;&lt;b data-path-to-node=&quot;&amp;#039;2,0,1,2,0&amp;#039;&quot; data-index-in-node=&quot;&amp;#039;0&amp;#039;&quot;&gt;Ba\u015f:&lt;\/b&gt; Kafan\u0131n tepe veya arka k\u0131sm\u0131na (genellikle bir bant yard\u0131m\u0131yla)&lt;\/p&gt;\n&lt;p&gt;<\/span>  <\/a> <\/div><!-- ICON WRAP --> <div class='ult-glow' ><\/div><\/div><div class='ult-hotspot-item' style='top:-webkit-calc(88.53111165364584% - 16px);top:-moz-calc(88.53111165364584% - 16px);top:calc(88.53111165364584% - 16px);left: -webkit-calc(37.51111111111111% - 16px);left: -moz-calc(37.51111111111111% - 16px);left: calc(37.51111111111111% - 16px);' >  <div style='z-index: 39;position: relative;'>   <a data-link_style='tootip' data-mycust-id=\"hotspot-tooltip-2829\"  data-ultimate-target='#hotspot-tooltip-2829 .ult-tooltipster-content'  data-responsive-json-new='{\"font-size\":\"\",\"line-height\":\"\"}' data-tooltip-content-style=\"width:300px;\"data-tooltip-base-style=\"background-color:#fff;color:#4c4c4c;\" data-bubble-arrow=\"true\" data-tooltip-offsety=\"16\" class='ult-tooltipstered ult-hotspot-tooltip' href='#' data-status='show'><div class=\"ult-just-icon-wrapper\"><div class=\"align-icon\" style=\"text-align:center;\">\n<div class=\"aio-icon circle\"  style=\"font-size:32px;display:inline-block;\">\n\t<i class=\"Defaults-info-circle\"><\/i>\n<\/div><\/div><\/div><span class='hotspot-tooltip-content'>&lt;\/p&gt;\n&lt;h5 data-path-to-node=&quot;&amp;#039;2,2,0&amp;#039;&quot;&gt;&lt;b data-path-to-node=&quot;&amp;#039;2,2,0&amp;#039;&quot; data-index-in-node=&quot;&amp;#039;0&amp;#039;&quot;&gt;Alt Ekstremite &ndash; Bacaklar ve Ayaklar (6 Adet):&lt;\/b&gt;&lt;\/h5&gt;\n&lt;p data-path-to-node=&quot;&amp;#039;2,2,1,0,0&amp;#039;&quot;&gt;&lt;b data-path-to-node=&quot;&amp;#039;2,2,1,0,0&amp;#039;&quot; data-index-in-node=&quot;&amp;#039;0&amp;#039;&quot;&gt;&Uuml;st Bacaklar (Sa\u011f\/Sol):&lt;\/b&gt; Diz kapa\u011f\u0131n\u0131n &uuml;st taraf\u0131na, yan y&uuml;zeye.&lt;\/p&gt;\n&lt;p data-path-to-node=&quot;&amp;#039;2,2,1,1,0&amp;#039;&quot;&gt;&lt;b data-path-to-node=&quot;&amp;#039;2,2,1,1,0&amp;#039;&quot; data-index-in-node=&quot;&amp;#039;0&amp;#039;&quot;&gt;Alt Bacaklar \/ Kaval (Sa\u011f\/Sol):&lt;\/b&gt; Ayak bile\u011finin hemen &uuml;st&uuml;ndeki kaval kemi\u011fi &uuml;zerine.&lt;\/p&gt;\n&lt;p data-path-to-node=&quot;&amp;#039;2,2,1,2,0&amp;#039;&quot;&gt;&lt;b data-path-to-node=&quot;&amp;#039;2,2,1,2,0&amp;#039;&quot; data-index-in-node=&quot;&amp;#039;0&amp;#039;&quot;&gt;Ayaklar (Sa\u011f\/Sol):&lt;\/b&gt; Ayakkab\u0131n\u0131n &uuml;zerine veya aya\u011f\u0131n &uuml;st k\u0131sm\u0131na.&lt;\/p&gt;\n&lt;p&gt;<\/span>  <\/a> <\/div><!-- ICON WRAP --> <div class='ult-glow' ><\/div><\/div>\n<\/div>     <div style='color:#000;' data-image='    '><\/div><\/div>\n\t<div class=\"wpb_text_column wpb_content_element\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<h5 data-path-to-node=\"3\"><b data-path-to-node=\"3\" data-index-in-node=\"0\">Neden 17 Sens\u00f6r?<\/b><\/h5>\n<p data-path-to-node=\"3\">Bu 17 nokta, insan v\u00fccudundaki temel eklem rotasyonlar\u0131n\u0131 ve segment hareketlerini matematiksel olarak hesaplamak i\u00e7in gereken minimum veri setini sa\u011flar. Sens\u00f6rler birbirleriyle kablosuz olarak haberle\u015fir ve her birinin ivme\u00f6l\u00e7er, jiroskop ve manyetometre verileri birle\u015ferek dijital karakterin (avatar) \u201ciskeletini\u201d olu\u015fturur.<\/p>\n<p data-path-to-node=\"4\">Kurulum s\u0131ras\u0131nda bu sens\u00f6rlerin do\u011fru kemik segmentine paralel yerle\u015ftirilmesi, yaz\u0131n\u0131n ba\u015f\u0131nda bahsetti\u011fimiz o \u201cdo\u011fal hareket\u201d verisinin kalitesini do\u011frudan etkiler.<\/p>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-6 apress_col_id_154206795269e311bc9ec0e hover_style_none\"><div class=\"layer vc_column-inner\"  ><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_text_column wpb_content_element\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<p style=\"text-align: center;\"><span style=\"color: #999999;\">Kurulum s\u0131ras\u0131nda bu sens\u00f6rlerin do\u011fru kemik segmentine paralel yerle\u015ftirilmesi, yaz\u0131n\u0131n ba\u015f\u0131nda bahsetti\u011fimiz o \u201cdo\u011fal hareket\u201d verisinin kalitesini do\u011frudan etkiler.<\/span><\/p>\n<p style=\"text-align: center;\"><span style=\"color: #999999;\">Donan\u0131mlar\u0131n a\u00e7\u0131klamas\u0131 i\u00e7in foto\u011fraf \u00fczerindeki mavi d\u00fc\u011fmelere t\u0131klay\u0131n.<\/span><\/p>\n\n\t\t<\/div>\n\t<\/div>\n<div class='ult_hotspot_container ult-adjust-bottom-margin ult-hotspot-tooltip-wrapper' style=\"\">  <img class='ult_hotspot_image' src=\"https:\/\/netlab.media\/wp-content\/uploads\/2026\/04\/netlab_giyilebilir_teknolojiler_2.jpg\" alt='null'\/>     <div class='utl-hotspot-items ult-hotspot-item'><div class='ult-hotspot-item' style='top:-webkit-calc(49.27111104329427% - 16px);top:-moz-calc(49.27111104329427% - 16px);top:calc(49.27111104329427% - 16px);left: -webkit-calc(41.30134040145512% - 16px);left: -moz-calc(41.30134040145512% - 16px);left: calc(41.30134040145512% - 16px);' >  <div style='z-index: 39;position: relative;'>   <a data-link_style='tootip' data-mycust-id=\"hotspot-tooltip-1377\"  data-ultimate-target='#hotspot-tooltip-1377 .ult-tooltipster-content'  data-responsive-json-new='{\"font-size\":\"\",\"line-height\":\"\"}' data-tooltip-content-style=\"width:300px;\"data-tooltip-base-style=\"background-color:#ffffff;color:#4c4c4c;\" data-bubble-arrow=\"true\" data-tooltip-offsety=\"16\" class='ult-tooltipstered ult-hotspot-tooltip' href='#' data-status='show'><div class=\"ult-just-icon-wrapper\"><div class=\"align-icon\" style=\"text-align:center;\">\n<div class=\"aio-icon circle\"  style=\"font-size:32px;display:inline-block;\">\n\t<i class=\"Defaults-info-circle\"><\/i>\n<\/div><\/div><\/div><span class='hotspot-tooltip-content'>&lt;\/p&gt;\n&lt;h5 data-path-to-node=&quot;&amp;#039;2,1,0&amp;#039;&quot;&gt;&lt;b data-path-to-node=&quot;&amp;#039;2,1,0&amp;#039;&quot; data-index-in-node=&quot;&amp;#039;0&amp;#039;&quot;&gt;&Uuml;st Ekstremite &ndash; Kollar ve Eller (8 Adet):&lt;\/b&gt;&lt;\/h5&gt;\n&lt;p data-path-to-node=&quot;&amp;#039;2,1,1,0,0&amp;#039;&quot;&gt;&lt;b data-path-to-node=&quot;&amp;#039;2,1,1,0,0&amp;#039;&quot; data-index-in-node=&quot;&amp;#039;0&amp;#039;&quot;&gt;Omuzlar (Sa\u011f\/Sol):&lt;\/b&gt; K&uuml;rek kemi\u011fi hareketlerini yakalamak i&ccedil;in.&lt;\/p&gt;\n&lt;p data-path-to-node=&quot;&amp;#039;2,1,1,1,0&amp;#039;&quot;&gt;&lt;b data-path-to-node=&quot;&amp;#039;2,1,1,1,0&amp;#039;&quot; data-index-in-node=&quot;&amp;#039;0&amp;#039;&quot;&gt;&Uuml;st Kollar (Sa\u011f\/Sol):&lt;\/b&gt; Dirsek &uuml;st&uuml; d\u0131\u015f k\u0131sma.&lt;\/p&gt;\n&lt;p data-path-to-node=&quot;&amp;#039;2,1,1,2,0&amp;#039;&quot;&gt;&lt;b data-path-to-node=&quot;&amp;#039;2,1,1,2,0&amp;#039;&quot; data-index-in-node=&quot;&amp;#039;0&amp;#039;&quot;&gt;&Ouml;n Kollar (Sa\u011f\/Sol):&lt;\/b&gt; Bilek &uuml;st&uuml; d\u0131\u015f k\u0131sma.&lt;\/p&gt;\n&lt;p data-path-to-node=&quot;&amp;#039;2,1,1,3,0&amp;#039;&quot;&gt;&lt;b data-path-to-node=&quot;&amp;#039;2,1,1,3,0&amp;#039;&quot; data-index-in-node=&quot;&amp;#039;0&amp;#039;&quot;&gt;Eller (Sa\u011f\/Sol):&lt;\/b&gt; Avu&ccedil; d\u0131\u015f\u0131 (el s\u0131rt\u0131) b&ouml;lgesine.&lt;\/p&gt;\n&lt;p&gt;<\/span>  <\/a> <\/div><!-- ICON WRAP --> <div class='ult-glow' ><\/div><\/div>\n<\/div>     <div style='color:#000;' data-image='    '><\/div><\/div><\/div><\/div><\/div><\/div><!-- Row Backgrounds --><div class=\"upb_color\" data-bg-override=\"0\" data-bg-color=\"\" data-fadeout=\"\" data-fadeout-percentage=\"30\" data-parallax-content=\"\" data-parallax-content-sense=\"30\" data-row-effect-mobile-disable=\"true\" data-img-parallax-mobile-disable=\"true\" data-rtl=\"false\"  data-custom-vc-row=\"\"  data-vc=\"6.8.0\"  data-is_old_vc=\"\"  data-theme-support=\"\"   data-overlay=\"false\" data-overlay-color=\"\" data-overlay-pattern=\"\" data-overlay-pattern-opacity=\"\" data-overlay-pattern-size=\"\"    ><\/div><div data-row-text-color=\"dark\" style=\" \" class=\"vc_row wpb_row zolo_wpb_row vc_row-fluid apress_row_class_59711772769e311bca001d\"><div class=\"wpb_column vc_column_container vc_col-sm-12 apress_col_id_197645795769e311bca02cd hover_style_none\"><div class=\"layer vc_column-inner\"  ><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_text_column wpb_content_element\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<h5><b>Optik tabanl\u0131 sistemler ile hareketin veriye d\u00f6n\u00fc\u015fmesi<\/b><\/h5>\n<p>Optik tabanl\u0131 sistemler ise bu ekosistemin ba\u015fka bir boyutunu temsil eder. OptiTrack gibi sistemler, k\u0131z\u0131l\u00f6tesi kameralar arac\u0131l\u0131\u011f\u0131yla \u00e7al\u0131\u015f\u0131r ve yaln\u0131zca insan bedenini de\u011fil, nesneleri ve farkl\u0131 varl\u0131klar\u0131 da takip edebilir. Bu da \u00f6zellikle b\u00fcy\u00fck \u00f6l\u00e7ekli prod\u00fcksiyonlarda, karma\u015f\u0131k sahnelerin kurulmas\u0131n\u0131 m\u00fcmk\u00fcn k\u0131lar. B\u00f6ylece hareket yakalama teknolojileri yaln\u0131zca bireysel performans\u0131n de\u011fil, mek\u00e2nsal ili\u015fkilerin de veri haline getirildi\u011fi bir alana d\u00f6n\u00fc\u015f\u00fcr.<\/p>\n<p>Teknik anlat\u0131m\u0131n ard\u0131ndan ger\u00e7ekle\u015ftirilen canl\u0131 uygulama, bu sistemlerin nas\u0131l \u00e7al\u0131\u015ft\u0131\u011f\u0131n\u0131 somutla\u015ft\u0131ran en g\u00fc\u00e7l\u00fc anlardan biriydi. G\u00f6n\u00fcll\u00fc bir kat\u0131l\u0131mc\u0131ya sens\u00f6rler yerle\u015ftirildikten sonra ba\u015flayan kalibrasyon s\u00fcreci, asl\u0131nda sistemin \u201c\u00f6\u011frenme\u201d a\u015famas\u0131 olarak d\u00fc\u015f\u00fcn\u00fclebilir. Kat\u0131l\u0131mc\u0131n\u0131n T-duru\u015fu pozisyonu almas\u0131yla birlikte sistem, v\u00fccudun oranlar\u0131n\u0131 tan\u0131mlar; ard\u0131ndan yap\u0131lan k\u0131sa y\u00fcr\u00fcy\u00fc\u015fle birlikte hareketin dinamik yap\u0131s\u0131n\u0131 kavrar. Bu iki a\u015fama, sistemin yaln\u0131zca bir bedeni de\u011fil, o bedene \u00f6zg\u00fc hareket bi\u00e7imini anlamas\u0131n\u0131 sa\u011flar. Kalibrasyon tamamland\u0131ktan sonra elde edilen verilerin Unreal Engine ortam\u0131na aktar\u0131lmas\u0131yla birlikte, fiziksel hareket ile dijital karakter aras\u0131ndaki e\u015fle\u015fme anl\u0131k olarak g\u00f6r\u00fcn\u00fcr hale gelir. Tam da bu noktada, soyut bir teknoloji anlat\u0131m\u0131, izlenebilir ve deneyimlenebilir bir ger\u00e7ekli\u011fe d\u00f6n\u00fc\u015f\u00fcr.<\/p>\n<p>Etkinli\u011fin belki de en \u00f6nemli \u00e7\u0131kt\u0131lar\u0131ndan biri, bu teknolojilerin T\u00fcrkiye\u2019deki konumuna dair yap\u0131lan de\u011ferlendirmeydi. Burada alt\u0131 \u00e7izilen temel mesele, donan\u0131m eksikli\u011finden \u00e7ok, bu sistemleri etkin bi\u00e7imde kullanabilecek insan kayna\u011f\u0131n\u0131n s\u0131n\u0131rl\u0131 olmas\u0131yd\u0131. Oysa hareket yakalama teknolojileri oyun, sinema, animasyon ve geni\u015fleyen XR alan\u0131 i\u00e7in giderek daha merkezi bir rol \u00fcstleniyor. Bu nedenle bu sistemlere \u00fcniversite d\u00fczeyinde a\u015final\u0131k kazanmak, sadece teknik bir beceri de\u011fil, ayn\u0131 zamanda bir teknolojik hakimiyet anlam\u0131n\u0131 ta\u015f\u0131yor.<\/p>\n<p>Sonu\u00e7 olarak hareket yakalama teknolojileri, yaln\u0131zca bir \u00fcretim arac\u0131 olarak de\u011fil, insan hareketinin veriye d\u00f6n\u00fc\u015ft\u00fcr\u00fclmesi \u00fczerinden \u00e7al\u0131\u015fan \u00e7ok katmanl\u0131 bir sistem olarak d\u00fc\u015f\u00fcn\u00fclmelidir. Bu sistemleri anlamak, dijital karakterlerin nas\u0131l \u00fcretildi\u011fini kavraman\u0131n \u00f6tesinde, g\u00fcn\u00fcm\u00fcz yarat\u0131c\u0131 end\u00fcstrilerinin nas\u0131l i\u015fledi\u011fini anlamak a\u00e7\u0131s\u0131ndan da kritik bir \u00f6nem ta\u015f\u0131maktad\u0131r.<\/p>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><\/div><\/div><!-- Row Backgrounds --><div class=\"upb_color\" data-bg-override=\"0\" data-bg-color=\"\" data-fadeout=\"\" data-fadeout-percentage=\"30\" data-parallax-content=\"\" data-parallax-content-sense=\"30\" data-row-effect-mobile-disable=\"true\" data-img-parallax-mobile-disable=\"true\" data-rtl=\"false\"  data-custom-vc-row=\"\"  data-vc=\"6.8.0\"  data-is_old_vc=\"\"  data-theme-support=\"\"   data-overlay=\"false\" data-overlay-color=\"\" data-overlay-pattern=\"\" data-overlay-pattern-opacity=\"\" data-overlay-pattern-size=\"\"    ><\/div><div data-row-text-color=\"dark\" style=\" \" class=\"vc_row wpb_row zolo_wpb_row vc_row-fluid apress_row_class_6463676769e311bca0c50 vc_custom_1767603202110 vc_row-has-fill\"><div class=\"wpb_column vc_column_container vc_col-sm-12 apress_col_id_4838161269e311bca11a7 hover_style_none\"><div class=\"layer vc_column-inner\"  ><div class=\"wpb_wrapper\"><div class=\"vc_message_box vc_message_box-standard vc_message_box-square vc_color-chino\" ><div class=\"vc_message_box-icon\"><i class=\"fas fa-book\"><\/i><\/div><div class=\"wpb_column vc_column_container vc_col-sm-12 apress_col_id_1276440547695b7aeeafd1f hover_style_none\">\n<div class=\"layer vc_column-inner\">\n<div class=\"wpb_wrapper\">\n<div class=\"wpb_text_column wpb_content_element\">\n<div class=\"wpb_wrapper\">\n<h4><strong>Terimler ve A\u00e7\u0131klamalar<\/strong><\/h4>\n<p><b data-path-to-node=\"1\" data-index-in-node=\"0\">Hareket yakalama (motion capture) ekosistemi;<\/b> v\u00fccuda yerle\u015ftirilen hassas IMU sens\u00f6rleri veya k\u0131z\u0131l\u00f6tesi kameralar, veriyi toplayan ba\u011flant\u0131 istasyonlar\u0131 (hub) ve bu karma\u015f\u0131k veri ak\u0131\u015f\u0131n\u0131 anl\u0131k i\u015fleyebilecek y\u00fcksek performansl\u0131 bir bilgisayar donan\u0131m\u0131 \u00fczerine kuruludur. Sistemin kurulum s\u00fcreci, donan\u0131mlar\u0131n bedene stratejik noktalarla yerle\u015fimiyle ba\u015flar ve yaz\u0131l\u0131m aray\u00fcz\u00fcnde ger\u00e7ekle\u015ftirilen &#8220;T-duru\u015fu&#8221; gibi kalibrasyon ad\u0131mlar\u0131yla fiziksel bedenin dijital iskeletle birebir e\u015fle\u015fmesi sa\u011flan\u0131r.<\/p>\n<\/div>\n<div><\/div>\n<div class=\"wpb_wrapper\">Bu sistemin temel i\u015flevi, insan hareketinin bar\u0131nd\u0131rd\u0131\u011f\u0131 anatomik \u00f6zellikleri ve mikro jestleri, geleneksel animasyon y\u00f6ntemlerinin zaman ve do\u011fall\u0131k s\u0131n\u0131rlar\u0131n\u0131 belirlemek anl\u0131k ve say\u0131sal bir veri seti olarak dijital karakterlere aktarmakt\u0131r; b\u00f6ylece fiziksel performans, dijital ortamda y\u00fcksek do\u011frulukla yeniden \u00fcretilmi\u015f olur.<\/div>\n<\/div>\n<\/div>\n<div>\n<ul data-path-to-node=\"4\">\n<li>\n<p data-path-to-node=\"4,0,0\"><b data-path-to-node=\"4,0,0\" data-index-in-node=\"0\">Motion Capture (Mo-Cap \/ Hareket Yakalama):<\/b> \u0130nsan, nesne veya hayvan hareketlerinin sens\u00f6rler ya da kameralar yard\u0131m\u0131yla kaydedilip dijital ortama aktar\u0131lmas\u0131 s\u00fcrecidir. Bu teknoloji, hareketin &#8220;yeniden \u00e7izilmesi&#8221; yerine &#8220;do\u011frudan veri olarak kaydedilmesini&#8221; esas al\u0131r.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"4,1,0\"><b data-path-to-node=\"4,1,0\" data-index-in-node=\"0\">Keyframe (Anahtar Kare):<\/b> Geleneksel animasyon y\u00f6ntemidir. Bir hareketin ba\u015flang\u0131\u00e7 ve biti\u015f noktalar\u0131n\u0131n animat\u00f6r taraf\u0131ndan elle belirlenip aradaki karelerin doldurulmas\u0131 prensibine dayan\u0131r. Mo-cap\u2019e g\u00f6re \u00e7ok daha zahmetli ve insan do\u011fall\u0131\u011f\u0131n\u0131 yakalamakta s\u0131n\u0131rl\u0131d\u0131r.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"4,2,0\"><b data-path-to-node=\"4,2,0\" data-index-in-node=\"0\">Inertial (Ataletsel) Sistemler:<\/b> Herhangi bir d\u0131\u015f kamera kurulumuna ihtiya\u00e7 duymadan, do\u011frudan v\u00fccut \u00fczerine yerle\u015ftirilen sens\u00f6rlerin (Xsens gibi) ivme ve y\u00f6n verilerini kullanarak hareket \u00fcretmesi y\u00f6ntemidir. Her t\u00fcrl\u00fc \u0131\u015f\u0131k ve mekan ko\u015fulunda \u00e7al\u0131\u015fabilme avantaj\u0131 sunar.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"4,3,0\"><b data-path-to-node=\"4,3,0\" data-index-in-node=\"0\">Optik Sistemler:<\/b> Mekana yerle\u015ftirilen k\u0131z\u0131l\u00f6tesi kameralar\u0131n (OptiTrack gibi), nesne veya ki\u015fi \u00fczerindeki yans\u0131t\u0131c\u0131 i\u015faret\u00e7ileri (marker) takip ederek hareket verisi olu\u015fturdu\u011fu sistemlerdir. \u00c7ok y\u00fcksek hassasiyet sunar ancak iyi donat\u0131lm\u0131\u015f bir st\u00fcdyo ortam\u0131 gerektirir.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"4,4,0\"><b data-path-to-node=\"4,4,0\" data-index-in-node=\"0\">Kalibrasyon (Calibration):<\/b> Hareket yakalama sisteminin, veriyi toplayaca\u011f\u0131 ki\u015finin v\u00fccut oranlar\u0131n\u0131, eklem a\u00e7\u0131lar\u0131n\u0131 ve hareket limitlerini tan\u0131mas\u0131 s\u00fcrecidir. Sistemin &#8220;s\u0131f\u0131rlanmas\u0131&#8221; ve ki\u015fiye \u00f6zg\u00fc hale getirilmesi anlam\u0131na gelir.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"4,5,0\"><b data-path-to-node=\"4,5,0\" data-index-in-node=\"0\">T-Duru\u015fu (T-Pose):<\/b> Kalibrasyon s\u0131ras\u0131nda kat\u0131l\u0131mc\u0131n\u0131n kollar\u0131n\u0131 yanlara a\u00e7arak ald\u0131\u011f\u0131, alfabedeki &#8220;T&#8221; harfine benzeyen temel referans duru\u015fudur. Dijital iskeletin ger\u00e7ek bedenle e\u015fle\u015fmesi i\u00e7in kritik bir ba\u015flang\u0131\u00e7 noktas\u0131d\u0131r.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"4,6,0\"><b data-path-to-node=\"4,6,0\" data-index-in-node=\"0\">IMU (Inertial Measurement Unit):<\/b> Xsens gibi suitlerin i\u00e7inde bulunan, hareketin h\u0131z\u0131n\u0131, y\u00f6n\u00fcn\u00fc ve manyetik alan verilerini \u00f6l\u00e7en mikro sens\u00f6r birimleridir. &#8220;V\u00fccudu veriye d\u00f6n\u00fc\u015ft\u00fcren&#8221; as\u0131l teknolojik birimdir.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"4,7,0\"><b data-path-to-node=\"4,7,0\" data-index-in-node=\"0\">Real-Time Rendering (Ger\u00e7ek Zamanl\u0131 \u0130\u015fleme):<\/b> Fiziksel hareketin, herhangi bir beklemeye veya uzun s\u00fcreli i\u015fleme (render) s\u00fcrecine gerek kalmadan anl\u0131k olarak dijital karaktere yans\u0131mas\u0131d\u0131r.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"4,8,0\"><b data-path-to-node=\"4,8,0\" data-index-in-node=\"0\">Unreal Engine:<\/b> G\u00fcn\u00fcm\u00fczde mo-cap verilerini g\u00f6rselle\u015ftirmek ve sahneler kurgulamak i\u00e7in kullan\u0131lan, ger\u00e7ek zamanl\u0131 \u00e7al\u0131\u015fan en geli\u015fmi\u015f oyun motorlar\u0131ndan biridir.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"4,9,0\"><b data-path-to-node=\"4,9,0\" data-index-in-node=\"0\">Manus:<\/b> \u00d6zellikle el ve parmak hareketlerinin (ince motor beceriler) yakalanmas\u0131 i\u00e7in geli\u015ftirilmi\u015f, di\u011fer sistemlerle entegre \u00e7al\u0131\u015fan ak\u0131ll\u0131 eldiven teknolojisidir.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"4,10,0\"><b data-path-to-node=\"4,10,0\" data-index-in-node=\"0\">Faceware:<\/b> Y\u00fcz mimiklerini ve duygusal ifadeleri y\u00fcksek hassasiyetle dijital karakterlere aktaran y\u00fcz yakalama teknolojisidir.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"4,11,0\"><b data-path-to-node=\"4,11,0\" data-index-in-node=\"0\">Biyomekanik Model:<\/b> Hareket verilerinin \u00fczerine giydirildi\u011fi, insan iskelet sistemini ve eklem hareket kabiliyetlerini taklit eden say\u0131sal modeldir.<\/p>\n<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\t<div class=\"wpb_text_column wpb_content_element\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<hr \/>\n<p>Bu yaz\u0131, 12 Mart 2026 tarihinde 9. NETlab Yeni Medya Ara\u015ft\u0131rmalar\u0131 Laboratuvar\u0131 Teknoloji Seminerleri kapsam\u0131nda d\u00fczenlenen \u201cMotion Capture&#8221; at\u00f6lyesinde\u00a0 Hasret Cem Bi\u00e7er ve Sat\u0131\u015f Sorumlusu G\u00f6zde Yahya&#8217;n\u0131n aktard\u0131\u011f\u0131 teknik bilgiler ve sekt\u00f6rel g\u00f6zlemler temel al\u0131narak Cafer Bayrak, E. \u015eafak Dikmen ve Nil\u00fcfer P\u0131nar K\u0131l\u0131\u00e7 taraf\u0131ndan haz\u0131rlanm\u0131\u015ft\u0131r. G\u00f6rsel ve yaz\u0131l\u0131 i\u00e7erik \u00fcretiminde, farkl\u0131 yapay zeka ara\u00e7alar\u0131ndan yararlan\u0131lm\u0131\u015ft\u0131r.<\/p>\n<p>Katk\u0131lar\u0131ndan dolay\u0131; Sence4motion ekibine te\u015fekk\u00fcr ederiz.<\/p>\n<p>#Motion Capture #Herket Yakalam #Dijital Oyun #SinemaTeknolojileri #NETlab #Ankara\u00dcniversitesi #UnrealEngine<\/p>\n<hr \/>\n\n\t\t<\/div>\n\t<\/div>\n\n\t<div class=\"wpb_text_column wpb_content_element\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"wpb_text_column wpb_content_element\">\n<div class=\"wpb_wrapper\">\n<p style=\"text-align: center;\">Legal Notice:<\/p>\n<p style=\"text-align: center;\">\u00a9 2026 Ergin \u015eafak Dikmen.<b data-path-to-node=\"6,0\" data-index-in-node=\"0\"> All rights reserved.<\/b> Copying, reproducing, or publishing the text, images, and materials on this site in other media for commercial or non-commercial purposes without permission is strictly prohibited.<\/p>\n<\/div>\n<\/div>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><\/div><\/div><!-- Row Backgrounds --><div class=\"upb_color\" data-bg-override=\"0\" data-bg-color=\"\" data-fadeout=\"\" data-fadeout-percentage=\"30\" data-parallax-content=\"\" data-parallax-content-sense=\"30\" data-row-effect-mobile-disable=\"true\" data-img-parallax-mobile-disable=\"true\" data-rtl=\"false\"  data-custom-vc-row=\"\"  data-vc=\"6.8.0\"  data-is_old_vc=\"\"  data-theme-support=\"\"   data-overlay=\"false\" data-overlay-color=\"\" data-overlay-pattern=\"\" data-overlay-pattern-opacity=\"\" data-overlay-pattern-size=\"\"    ><\/div>","protected":false},"excerpt":{"rendered":"Tahmini Okuma S\u00fcresi: 13 Dk.\u00a0 | Zorluk Seviyesi: Orta Ses De\u015fifre ve Metin: Cafer Bayrak | Edit\u00f6r: Nil\u00fcfer P\u0131nar K\u0131l\u0131\u00e7 - E. \u015eafak Dikmen |<span class=\"read_more_area\"><a class=\"read-more\" href=\"https:\/\/netlab.media\/en\/blog\/hareket-yakalama-teknolojileri\/\"> Devam\u0131... <\/a><\/span>","protected":false},"author":4,"featured_media":6063,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[185],"tags":[],"_links":{"self":[{"href":"https:\/\/netlab.media\/en\/wp-json\/wp\/v2\/posts\/6034"}],"collection":[{"href":"https:\/\/netlab.media\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/netlab.media\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/netlab.media\/en\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/netlab.media\/en\/wp-json\/wp\/v2\/comments?post=6034"}],"version-history":[{"count":42,"href":"https:\/\/netlab.media\/en\/wp-json\/wp\/v2\/posts\/6034\/revisions"}],"predecessor-version":[{"id":6082,"href":"https:\/\/netlab.media\/en\/wp-json\/wp\/v2\/posts\/6034\/revisions\/6082"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/netlab.media\/en\/wp-json\/wp\/v2\/media\/6063"}],"wp:attachment":[{"href":"https:\/\/netlab.media\/en\/wp-json\/wp\/v2\/media?parent=6034"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/netlab.media\/en\/wp-json\/wp\/v2\/categories?post=6034"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/netlab.media\/en\/wp-json\/wp\/v2\/tags?post=6034"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}