Sign Language Conversion into Text and Speech using Flex Sensors
Sudha Arvind, CH. Gayatri, G. Aravind Kumar, Rama Krishna, Swapna · 2024
Translates sign language into text and speech using flex sensors, back ground: This work aim to bring or develop system that translates sign language gestures into written and spoken language, through utilizing hard ware compounds which recognise hand movement and convert into corresponding text and speech, this initiative seeks to enhance communication for deaf and hard of hearing community, it enables real time interaction problem allowing sign language user to interact with another community effectively, Method: Implementation of this Concept involves wearable gloves embedded with flex sensors to capture sign language gestures, which further processed using algorithm to translate them into text and speech, additionally Bluetooth modulator which transmit the processed data wirelessly, It ensures efficient and reliable data transmission (multi senser fusion, IOT) result: expected out come is real time, accurate translation that enhance greatly accessibility, inclusivity and independence for deaf community. Concluding remarks ensure equal access to information and opportunities, raise awareness between deaf community. Out comes are providing real time communication aids in public spaces, work spaces, educational institutions and also use for learning tool for both sign language user and learner.