Open AccessReview of Data Preprocessing Methods for Sign Language Recognition Systems based on Artificial Neural Networks
Author(s) -
Aleksejs Zorins,
Peter Grabusts
Publication year - 2016
Publication title -
information technology and management science
Language(s) - English
Resource type - Journals
eISSN - 2255-9094
pISSN - 2255-9086
DOI - 10.1515/itms-2016-0018
Subject(s) - preprocessor , latvian , focus (optics) , computer science , sign language , artificial neural network , sign (mathematics) , artificial intelligence , data pre processing , natural language processing , speech recognition , linguistics , mathematics , mathematical analysis , philosophy , physics , optics
The article presents an introductory analysis of relevant research topic for Latvian deaf society, which is the development of the Latvian Sign Language Recognition System. More specifically the data preprocessing methods are discussed in the paper and several approaches are shown with a focus on systems based on artificial neural networks, which are one of the most successful solutions for sign language recognition task