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This research introduces a novel approach for translating written text into a barebones pose viewer specifically designed for Indian Sign Language (ISL). The proposed system leverages advanced natural language processing and computer vision techniques to achieve seamless translation and visualization. The process begins with normalizing the written text, converting it to sign writing, and then generating pose sequences. The integration of the OpenPose framework and a barebones viewer enhances the speed and efficiency of the visualization process. This method bridges the communication gap within the deaf community by providing an effective and user-friendly ISL translation tool, achieving an accuracy of approximately 95.7% in this study.

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Pose-Driven Interpretation of Written Text for Indian Sign Language Representation

  • 会议论文

  • 发表日期：

    2026年

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  • Atharva Joshi,
  • R. Sreemathy,
  • Mousami Turuk,
  • Jayashree Jagdale

摘要

This research introduces a novel approach for translating written text into a barebones pose viewer specifically designed for Indian Sign Language (ISL). The proposed system leverages advanced natural language processing and computer vision techniques to achieve seamless translation and visualization. The process begins with normalizing the written text, converting it to sign writing, and then generating pose sequences. The integration of the OpenPose framework and a barebones viewer enhances the speed and efficiency of the visualization process. This method bridges the communication gap within the deaf community by providing an effective and user-friendly ISL translation tool, achieving an accuracy of approximately 95.7% in this study.