Title :
Recognition of Vowels Letters of Turkish Sign Language by Artificial Neural Networks
Author :
Selda, Bayrak ; Vasif, Nabiyev V.
Author_Institution :
Bilgisayar Muhendisligi Bolumu, Karadeniz Teknik Univ., Trabzon
Abstract :
Modeling human behaviors (thinking, communication, body languages etc) is very important to develop intelligent interfaces in human machine interaction. This paper suggests solutions for some of the problems of deaf people in education and communication by modeling sign language. We mostly focus on recognition of letters, which are the bases of a sign language. Artificial neural networks are employed to recognize the vowels of Turkish Sign Language
Keywords :
character recognition; learning (artificial intelligence); man-machine systems; natural languages; neural nets; Turkish sign language; artificial neural network; human machine interaction; intelligent interface; vowel letter recognition; Artificial neural networks; Biological system modeling; Deafness; Handicapped aids; Humans; Machine intelligence; Speech recognition;
Conference_Titel :
Signal Processing and Communications Applications, 2006 IEEE 14th
Conference_Location :
Antalya
Print_ISBN :
1-4244-0238-7
DOI :
10.1109/SIU.2006.1659858
