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

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 sy...

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Main Authors:	Zorins Aleksejs, Grabusts Pēteris
Format:	Article
Language:	English
Published:	Sciendo 2016-12-01
Series:	Information Technology and Management Science
Subjects:	Artificial neural networks sign language recognition
Online Access:	http://www.degruyter.com/view/j/itms.2016.19.issue-1/itms-2016-0018/itms-2016-0018.xml?format=INT

id	doaj-2b8f9e7465654da99e7e986405053f2d
record_format	Article
spelling	doaj-2b8f9e7465654da99e7e986405053f2d2021-04-02T15:07:58ZengSciendoInformation Technology and Management Science2255-90942016-12-011919810310.1515/itms-2016-0018itms-2016-0018Review of Data Preprocessing Methods for Sign Language Recognition Systems based on Artificial Neural NetworksZorins Aleksejs0Grabusts Pēteris1Rezekne Academy of Technology, LatviaRezekne Academy of Technology, LatviaThe 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.http://www.degruyter.com/view/j/itms.2016.19.issue-1/itms-2016-0018/itms-2016-0018.xml?format=INTArtificial neural networkssign language recognition
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Zorins Aleksejs Grabusts Pēteris
spellingShingle	Zorins Aleksejs Grabusts Pēteris Review of Data Preprocessing Methods for Sign Language Recognition Systems based on Artificial Neural Networks Information Technology and Management Science Artificial neural networks sign language recognition
author_facet	Zorins Aleksejs Grabusts Pēteris
author_sort	Zorins Aleksejs
title	Review of Data Preprocessing Methods for Sign Language Recognition Systems based on Artificial Neural Networks
title_short	Review of Data Preprocessing Methods for Sign Language Recognition Systems based on Artificial Neural Networks
title_full	Review of Data Preprocessing Methods for Sign Language Recognition Systems based on Artificial Neural Networks
title_fullStr	Review of Data Preprocessing Methods for Sign Language Recognition Systems based on Artificial Neural Networks
title_full_unstemmed	Review of Data Preprocessing Methods for Sign Language Recognition Systems based on Artificial Neural Networks
title_sort	review of data preprocessing methods for sign language recognition systems based on artificial neural networks
publisher	Sciendo
series	Information Technology and Management Science
issn	2255-9094
publishDate	2016-12-01
description	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.
topic	Artificial neural networks sign language recognition
url	http://www.degruyter.com/view/j/itms.2016.19.issue-1/itms-2016-0018/itms-2016-0018.xml?format=INT
work_keys_str_mv	AT zorinsaleksejs reviewofdatapreprocessingmethodsforsignlanguagerecognitionsystemsbasedonartificialneuralnetworks AT grabustspeteris reviewofdatapreprocessingmethodsforsignlanguagerecognitionsystemsbasedonartificialneuralnetworks
_version_	1721560547509403648

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

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