Review of Data Preprocessing Methods for Sign Language Recognition Systems based on Artificial Neural Networks

Zorins Aleksejs and Grabusts Pēteris
Additional contact information
Grabusts Pēteris: Rezekne Academy of Technology, Latvia

Information Technology and Management Science, 2016, vol. 19, issue 1, 98-103

Abstract: 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.

Keywords: Artificial neural networks; sign language recognition (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1515/itms-2016-0018 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:vrs:itmasc:v:19:y:2016:i:1:p:98-103:n:18

DOI: 10.1515/itms-2016-0018

Access Statistics for this article

Information Technology and Management Science is currently edited by J. Merkurjevs

More articles in Information Technology and Management Science from Sciendo
Bibliographic data for series maintained by Peter Golla ().