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@article{188771,
        author = {Bharath R N and Sivasubramanyam Medasani and Bheemanna and Gowtham T M and B M Darshan},
        title = {SignSpeak: Real-Time Sign Language Interpreter for Inclusive Communication},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {3301-3306},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=188771},
        abstract = {Learning sign language is often difficult due to the limitations of static images and 2D videos that cannot clearly represent hand articulation, motion transitions, or spatial orientation. To overcome these issues, this paper presents a Sign Language Animation System that converts text or speech into predefined 3D animated gestures. The system employs a lightweight 3D avatar capable of displaying precise hand movements and finger positions from multiple viewing angles, without relying on sensors or recognition-based hardware. This approach aligns with recent studies showing that 3D visualization significantly improves gesture clarity and learner comprehension. The proposed system provides a consistent, accessible, and technically efficient platform for sign language education and everyday communication support.},
        keywords = {Sign Language, 3D Animation, Text-to-Sign Conversion, Gesture Visualization, Inclusive Communication.},
        month = {December},
        }