Development of Sign Language Converter

This paper presents the development of a wearable glove that converts sign languages based on hand gesture protocol to text and speech. Sign language, a human communication protocol of speech impaired people, can also leverage on the convergence of computers and communication technology to expand the use of the language and ensure more integration and inclusion of speech impaired people into the main stream of socio-economic life. Existing works majorly proffer solutions based on image processing, however, this work presents the integration of flex sensors, accelerometer, Bluetooth connectivity and an android application to achieve smart glove prototype which basically converts hand gestures to speech and text in order to promote seamless sign language representation and translation. The device was tested and representation of 5 separate phrases was achieved. Hence, it proved to be a concept that can be realized and improved with increased build complexity.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-30
DOI
https://doi.org/10.5281/zenodo.14964916
Primary Topic
Hand Gesture Recognition Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Development of Sign Language Converter

Zenodo (CERN European Organization for Nuclear Research)
Hand Gesture Recognition Systems
article

Development of Sign Language Converter

article en

Abstract

This paper presents the development of a wearable glove that converts sign languages based on hand gesture protocol to text and speech. Sign language, a human communication protocol of speech impaired people, can also leverage on the convergence of computers and communication technology to expand the use of the language and ensure more integration and inclusion of speech impaired people into the main stream of socio-economic life. Existing works majorly proffer solutions based on image processing, however, this work presents the integration of flex sensors, accelerometer, Bluetooth connectivity and an android application to achieve smart glove prototype which basically converts hand gestures to speech and text in order to promote seamless sign language representation and translation. The device was tested and representation of 5 separate phrases was achieved. Hence, it proved to be a concept that can be realized and improved with increased build complexity.

Zenodo (CERN European Organization for Nuclear Research)
Ekiti State University (NG), University of Lagos (NG), Adekunle Ajasin University (NG), Federal Polytechnic Ede (NG), Obafemi Awolowo University (NG)
Reduced inequalities
Openalex Percentile: Top 66%
Hand Gesture Recognition Systems
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