RTU Research Information System
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 |