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Given the large number of deaf-mute individuals, integrating them into independent life through efficient sign language recognition/generation is crucial. Automatic text-to-sign conversion is a promising research area for bidirectional communication. Various recognition approaches exist, including mobile apps, smart gloves, and AI-based electric hands. However, fewer methods address gesture generation, as it requires translating text into complex hand and body movements with contextual understanding. This paper reviews key works on sign language recognition and presents our approach for converting Arabic text to sign language.

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A Framework for the Automatic Conversion of Text Into Sign Language

  • 会议论文

  • 发表日期：

    2026年

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  • Souha Ben Hamouda,
  • Mohamed Jmaiel,
  • Wafa Gabsi,
  • Bechir Zalila

摘要

Given the large number of deaf-mute individuals, integrating them into independent life through efficient sign language recognition/generation is crucial. Automatic text-to-sign conversion is a promising research area for bidirectional communication. Various recognition approaches exist, including mobile apps, smart gloves, and AI-based electric hands. However, fewer methods address gesture generation, as it requires translating text into complex hand and body movements with contextual understanding. This paper reviews key works on sign language recognition and presents our approach for converting Arabic text to sign language.