Empowering Sign Language Communication with the Revolutionary Glove
Abstract
This paper presents a novel approach to bridging communication barriers for the Deaf and Hard-of-Hearing (DHH) community through a revolutionary glove system that translates sign language into written words and audio. Traditional sign language interpreters
and static translation systems often face challenges in portability, accessibility, and affordability. The proposed system leverages sensor-enabled gloves, integrated with machine learning algorithms, to capture hand gestures, convert them into standardized sign
language, and generate text output in real time. The system utilizes Bluetooth connectivity for real-time data transmission between wearable sensor gloves equipped with flex sensors, gyro sensors, and the mobile application. These gloves detect hand movements and
gestures, utilizing flex sensors to measure finger bends and gyro sensors to track hand orientation. The data is then interpreted by an embedded processing unit and translated into readable text and audible speech by the app. The Bluetooth connectivity ensures seamless and uninterrupted communication, allowing users to interact easily in different environments. By providing a reliable and accessible means of communication, this project aims to enhance the inclusivity of deaf and mute individuals, leading to improved social interactions, increased independence, and more opportunities for education and employment
Keywords: sign language,flex sensor, and patterns variation
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