Real-time Ukrainian sign language recognition system

Author

Davydov, M.V. ; Nikolski, I.V. ; Pasichnyk, V.V.

Author_Institution

Inf. Syst. & Networks Dept., Lviv Polytech. Nat. Univ., Lviv, Ukraine

Volume

1

fYear

2010

fDate

29-31 Oct. 2010

Firstpage

875

Lastpage

879

Abstract

This article focuses on the development of computational methods and software for the computerized real-time Ukrainian sign language recognition system. The proposed recognition model differs from known approaches in the identification of hand shape in motion. The system makes use of a video camera as a sensor. Hand shape recognition method based on fingertips location and pseudo 2-dimentional image deformation model is used. The sign identification method is based on the hidden Markov models. There has been applied the one-dimensional hidden Markov model which consists of 8 states. Achieved 91.7% sign recognition rate of test set comprising 85 signs.

Keywords

hidden Markov models; image motion analysis; image recognition; natural language processing; hand shape identification; hidden Markov models; real-time Ukrainian sign language recognition system; Image color analysis; Real time systems; Robustness; Shape; Speech; Speech enhancement; Speech recognition; Sign language; gesture identification; hand shape recognition; neural networks; two-dimensional image deformation model;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on

Conference_Location

Xiamen

Print_ISBN

978-1-4244-6582-8

Type

conf

DOI

10.1109/ICICISYS.2010.5658812

Filename

5658812