IoT Based Sign to Speech Converter System

The idea introduces a system for facilitating communication between the deaf and the non-signing community through a wearable device called IoT based Sign-to-Speech Converter System. The System consist of glove & it utilizes Internet of Things (IoT) technology to bridge the communication gap by translating sign language (gestures) into spoken language in real-time. The core functionality of the system is augmented by seamless integration with an Android application, enhancing user experience and accessibility. The proposed system leverages a combination of sensors embedded within the glove to capture intricate hand movements and gestures commonly used in sign language. These data are transmitted wirelessly to a central processing unit, to interpret the gestures and generates corresponding spoken language output. The Android application serves as a user interface, allowing for customization of settings and additional features such as text-based communication. Effectiveness and practicality of the proposed system have been demonstrated, opening-up new avenues for inclusive communication and empowerment of the deaf community.

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2024-10-05
DOI
https://doi.org/10.22214/ijraset.2024.64413
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
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article

IoT Based Sign to Speech Converter System

Devyani Pravin Nagarale
International Journal for Research in Applied Science and Engineering Technology
IoT-based Smart Home Systems
article

IoT Based Sign to Speech Converter System

Devyani Pravin Nagarale
article en

Abstract

The idea introduces a system for facilitating communication between the deaf and the non-signing community through a wearable device called IoT based Sign-to-Speech Converter System. The System consist of glove & it utilizes Internet of Things (IoT) technology to bridge the communication gap by translating sign language (gestures) into spoken language in real-time. The core functionality of the system is augmented by seamless integration with an Android application, enhancing user experience and accessibility. The proposed system leverages a combination of sensors embedded within the glove to capture intricate hand movements and gestures commonly used in sign language. These data are transmitted wirelessly to a central processing unit, to interpret the gestures and generates corresponding spoken language output. The Android application serves as a user interface, allowing for customization of settings and additional features such as text-based communication. Effectiveness and practicality of the proposed system have been demonstrated, opening-up new avenues for inclusive communication and empowerment of the deaf community.

International Journal for Research in Applied Science and Engineering TechnologyVol. 12(10)
Quality Education
Openalex Percentile: Top 85%
IoT-based Smart Home Systems
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