Yırtıcı, Tolga <br/><br/>
Turkish sign language recognition using microsoft Kinect Xbox 
Tolga Yırtıcı; Supervisor: Mehtap Köse Ulukök 
 - Nicosia  Cyprus International University  2015 
 - VII, 55 p.  figure  30.5 cm  CD 
<br/><br/>Includes CD 
<br/><br/>Includes references (44 p.) 
<br/><br/> INTRODUCTION   1  Approaches Used in the Education of the Deaf in Turkey   1  Literature Review   3  Technology   6  Kinect Xbox 360 Camera   6  Active Pixel Sensor   7  Clojure   7  History   7  Clojure for Functional Programming   8  Clojure Philosophy   10  Clojure Syntax   11  Definition   11  Similarities with other traditional Lisp-like languages   12  Strength of Clojure    12  Function programming   20  Introduction of Functional Programming   20  Moore's Law   21  Functional Programming Concept   22  Referential Transparency   23  Benefits of Functional Programming   23  The Six Rules  24  Neural Network   25  Learning Models   25  Supervised Learning   Unsupervised Learning   26  Reinforcement Learning   27  Application in Real-Life   27  Support Vector Machine   28  Detection of Turkish Sign Language Using Kinect   29  TSL Recognition System   29  Initializing the Camera   31  Prepocessing the Data   36  SVM and Word Matching   41  Conclusıon   43  Appendix A  45 
<br/><br/> 'ABSTRACT  This project is an implementation of Turkish Sign Language detection by using a depth camera. Turkish Sign Language is formed of gestures regulated by the Turkish Language Association. Kinect camera's 3D scanning feature is used to capture gestures. A person in front of Kinect makes gestures from a Turkish Sign Language dictionary and then coordinates of the joints in that gesture are retrieved. By using Support Vector Machine each gesture is classified and displayed as the matching word.  Key Words: Turkish Sign Language, Support Vector Machine, Kinect.   ÖZETÇE  Bu proje, derinlik kamerası kullanarak Türk saret Dilini algılayan bir uygulamadır. Türk Dil Kurumu tarafından belirlenen Türk saret Dili vücut hareketlerinden olusmaktadır. Hareketleri yakalamak için Kinect kameranın 3D özelligi kullanılmıstır. Kinect önünde bir kisi Türk saret Dili sözlügünden hareketler yapar ve bundan sonra hareket içindeki eklemlerin koordinatları alınır. Destek Vektör Makinası kullanılarak herbir hareket sınıflandırılır ve eslesen kelime olarak görüntülenir.  Anahtar Kelimeler: Türk saret Dili, Destek Vektör Makinası, Kinect. ' 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Türk işaret dili<br/>Turkish sign language<br/>Destek vektör makinası<br/>Support vector machine