Recognition of vowels letters of Turkish sign language by artificial neural networks

SELDA B., Vasif N. V.

IEEE 14th Signal Processing and Communications Applications, Antalya, Türkiye, 16 - 19 Nisan 2006, ss.125-126 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.1109/siu.2006.1659858
  • Basıldığı Şehir: Antalya
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.125-126
  • Karadeniz Teknik Üniversitesi Adresli: Evet

Özet

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.