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@article{188918,
        author = {Shreya S and Dr. Shruthi M and Sneha H and Rohith M D and Vimarsha M},
        title = {Design of Spectacles for Sign Language Translation},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {3969-3975},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=188918},
        abstract = {Sign language is the primary communication medium for individuals with hearing and speech impairments. However, its limited understanding among the general population results in significant communication barriers. This work proposes a spectacle-based real-time sign language translation system that integrates computer vision, machine learning, and embedded technologies. The system utilizes a Raspberry Pi operating on the 32-bit Legacy OS with Motion-based IP camera streaming for seamless and stable video acquisition. Hand landmark extraction is performed using Mediapipe Hands, which detects 21 key points per hand, followed by a custom keypoint classifier that converts the extracted coordinates into gesture classes. A TensorFlow- based CNN model, trained on the ASL Digits dataset, enables efficient gesture recognition. The spectacle-mounted camera streams video to a processing unit, which classifies gestures and maps them to corresponding English alphabets or phrases. Speech output is generated through passwordless SSH-triggered espeak on the Raspberry Pi, enabling hands-free audio com- munication. Experimental evaluations demonstrate robust real- time performance and high prediction accuracy. The proposed system presents a cost-effective, wearable, and efficient assistive technology solution aimed at reducing communication barriers between sign language users and non-signers.},
        keywords = {Hand Gesture Recognition, Sign Language Translation, Mediapipe, Computer Vision, Assistive Technology, Keypoint Classification.},
        month = {December},
        }