Image-based and sensor-based approaches to arabic sign language recognition

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122 Scopus citations

Abstract

Sign language continues to be the preferred method of communication among the deaf and the hearing-impaired. Advances in information technology have prompted the development of systems that can facilitate automatic translation between sign language and spoken language. More recently, systems translating between Arabic sign and spoken language have become popular. This paper reviews systems and methods for the automatic recognition of Arabic sign language. Additionally, this paper highlights the main challenges characterizing Arabic sign language as well as potential future research directions.

Original languageEnglish
Article number6814287
Pages (from-to)551-557
Number of pages7
JournalIEEE Transactions on Human-Machine Systems
Volume44
Issue number4
DOIs
StatePublished - Aug 2014

Keywords

  • Arabic sign language recognition (ArSLR)
  • continuous sign recognition
  • image-based
  • isolated word recognition
  • sensor-based

ASJC Scopus subject areas

  • Human Factors and Ergonomics
  • Control and Systems Engineering
  • Signal Processing
  • Human-Computer Interaction
  • Computer Science Applications
  • Computer Networks and Communications
  • Artificial Intelligence

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