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文章基本信息

  • 标题:Review of Data Preprocessing Methods for Sign Language Recognition Systems based on Artificial Neural Networks
  • 本地全文:下载
  • 作者:Aleksejs Zorins ; Pēteris Grabusts
  • 期刊名称:Information Technology and Management Science
  • 印刷版ISSN:2255-9086
  • 电子版ISSN:2255-9094
  • 出版年度:2016
  • 卷号:19
  • 期号:1
  • 页码:98-103
  • DOI:10.1515/itms-2016-0018
  • 语种:English
  • 出版社:Walter de Gruyter GmbH
  • 摘要: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.
  • 关键词:Artificial neural networks ; sign language recognition
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