IoT-Enabled Multilingual Translation System for Indian Sign Language

This project aspires to transform communication for those with speech impairments by introducing a groundbreaking Indian Sign Language (ISL) to speech converter. At its core is a wearable glove fitted with pushbuttons and linked to an Arduino Uno microcontroller board, which deciphers ISL gestures and translates them into text. The Arduino Uno processes these gestures and converts them into text, which is then articulated into natural-sounding speech using a Python-based text-to-speech (TTS) system. To broaden its utility, the text can be translated into multiple languages, including Hindi, Tamil, and Telugu. This integrated approach ensures smooth conversion of ISL gestures into spoken words, facilitating communication and bridging the divide between sign language users and the wider community. By leveraging advanced technologies such as Arduino and Python, the ISL to Speech Converter promotes inclusivity and accessibility, empowering individuals with speech impairments to engage more effectively and independently. This innovation holds the promise of significantly enhancing lives by fostering better social interactions, increased participation, and improved overall well-being

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Publication Details

Published
2024-09-26
DOI
https://doi.org/10.1109/icpeev63032.2024.10931914
Citations
1
Primary Topic
Hand Gesture Recognition Systems
Type
article
Field-Weighted Citation Impact
0.37
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article

IoT-Enabled Multilingual Translation System for Indian Sign Language

Chevella Anil Kumar, Mudduluru Charan Teja, Pallavi Sharma, Nainika Kandarpa et al.
1 citations
Hand Gesture Recognition Systems
0.37
article

IoT-Enabled Multilingual Translation System for Indian Sign Language

Chevella Anil Kumar, Mudduluru Charan Teja, Pallavi Sharma, Nainika Kandarpa, V. Sagar Reddy, Jaini Sachin Rewaria
article en
1 citations

Abstract

This project aspires to transform communication for those with speech impairments by introducing a groundbreaking Indian Sign Language (ISL) to speech converter. At its core is a wearable glove fitted with pushbuttons and linked to an Arduino Uno microcontroller board, which deciphers ISL gestures and translates them into text. The Arduino Uno processes these gestures and converts them into text, which is then articulated into natural-sounding speech using a Python-based text-to-speech (TTS) system. To broaden its utility, the text can be translated into multiple languages, including Hindi, Tamil, and Telugu. This integrated approach ensures smooth conversion of ISL gestures into spoken words, facilitating communication and bridging the divide between sign language users and the wider community. By leveraging advanced technologies such as Arduino and Python, the ISL to Speech Converter promotes inclusivity and accessibility, empowering individuals with speech impairments to engage more effectively and independently. This innovation holds the promise of significantly enhancing lives by fostering better social interactions, increased participation, and improved overall well-being

Vignana Jyothi Institute of Management (IN)
Quality Education
Openalex Percentile: Top 34%
Hand Gesture Recognition Systems
0.37
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IoT-Enabled Multilingual Translation System for Indian Sign Language — Chevella Anil Kumar, Mudduluru Charan Teja, et al. · (2024) | TGRS Research Map | TGRS