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@article{186576,
        author = {Vishvesh Deshmukh and Durvesh More and Shailee Gaidhane and Shantanu Gabhne and Sahil Gadhave and Shrinivas Fere and Aditya Gaikwad},
        title = {Design and Development of a Wireless Embedded Glove for Real-Time Sign Language-to-Speech Conversion},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {2018-2023},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=186576},
        abstract = {This work details the creation of an affordable, wearable glove that interprets static American Sign Language (ASL) alphabet gestures and converts them into spoken output. The system employs five flex sensors mounted on a glove, an Arduino Uno microcontroller for data acquisition and processing, an HC-05 Bluetooth module for wireless transmission, and a 16 × 2 I²C LCD for local feedback. A custom Android application receives published letters over Bluetooth, displays them, and uses on-device text-to-speech (TTS) to vocalize each character. Through calibration and a threshold-based recognition scheme, the system attains an average recognition accuracy of 91.3 % over eight static ASL letters (A, B, C, D, E, I, L, T). End-to-end latency—from user forming a gesture to spoken output on the phone—averages 230 ms. With total parts costing under $60, this glove offers a practical assistive solution for facilitating communication between individuals who use sign language and those who do not.},
        keywords = {Flex sensors, sign language recognition, Arduino, Bluetooth, text-to-speech, wearable assistive device.},
        month = {November},
        }