Image-Based and Sensor-Based Approaches to Arabic Sign Language Recognition

TLDR

Sign language remains the primary communication mode for deaf and hearing‑impaired individuals, and recent advances in information technology have spurred the development of automatic translation systems, including those for Arabic sign language. The study aims to review the current systems and methods for automatic recognition of Arabic sign language. It surveys existing approaches, including image‑based and sensor‑based techniques, to assess their design and performance. The review identifies key challenges specific to Arabic sign language and proposes directions for future research.

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.