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 language | English |
|---|---|
| Article number | 6814287 |
| Pages (from-to) | 551-557 |
| Number of pages | 7 |
| Journal | IEEE Transactions on Human-Machine Systems |
| Volume | 44 |
| Issue number | 4 |
| DOIs | |
| State | Published - 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