DocumentCode
2306661
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
fYear
2006
fDate
17-19 April 2006
Firstpage
1
Lastpage
4
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Communications Applications, 2006 IEEE 14th
Conference_Location
Antalya
Print_ISBN
1-4244-0238-7
Type
conf
DOI
10.1109/SIU.2006.1659858
Filename
1659858
Link To Document