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

Publication Type Publication (anonimusly reviewed) in a journal with an international editorial board indexed in other databases
Funding for basic activity Unknown
Defending: ,
Publication language English (en)
Title in original language Review of Data Preprocessing Methods for Sign Language Recognition Systems based on Artificial Neural Networks
Field of research 2. Engineering and technology
Sub-field of research 2.2 Electrical engineering, Electronic engineering, Information and communication engineering
Authors Aleksejs Zorins
Pēteris Grabusts
Keywords Artificial neural networks, sign language recognition
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.
DOI: 10.1515/itms-2016-0018
Reference Zorins, A., Grabusts, P. Review of Data Preprocessing Methods for Sign Language Recognition Systems based on Artificial Neural Networks. Information Technology and Management Science, 2016, 19, pp.98-103. ISSN 2255-9086. e-ISSN 2255-9094. Available from: doi:10.1515/itms-2016-0018
ID 23733