AU  - Yırtıcı, Tolga
AU  - Supervisor: Köse Ulukök, Mehtap
TI  - Turkish sign language recognition using microsoft Kinect Xbox
PY  - 2015///
CY  - Nicosia
PB  - Cyprus International University
KW  - Türk işaret dili
KW  - Turkish sign language
KW  - Destek vektör makinası
KW  - Support vector machine
N1  - Includes references (44 p.); 1; INTRODUCTION; 1; Approaches Used in the Education of the Deaf in Turkey; 3; Literature Review; 6; Technology; 6; Kinect Xbox 360 Camera; 7; Active Pixel Sensor; 7; Clojure; 7; History; 8; Clojure for Functional Programming; 10; Clojure Philosophy; 11; Clojure Syntax; 11; Definition; 12; Similarities with other traditional Lisp-like languages; 12; Strength of Clojure; 20; Function programming; 20; Introduction of Functional Programming; 21; Moore's Law; 22; Functional Programming Concept; 23; Referential Transparency; 23; Benefits of Functional Programming; 24; The Six Rules; 25; Neural Network; 25; Learning Models; Supervised Learning; 26; Unsupervised Learning; 27; Reinforcement Learning; 27; Application in Real-Life; 28; Support Vector Machine; 29; Detection of Turkish Sign Language Using Kinect; 29; TSL Recognition System; 31; Initializing the Camera; 36; Prepocessing the Data; 41; SVM and Word Matching; 43; Conclusıon; 45; Appendix A
N2  - '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. '
ER  -