Development of a Wearable Sensor Glove for Real-Time Sign Language Translation

Author:

Ambar Radzi,Salim Safyzan,Wahab Mohd Helmy Abd,Jamil Muhammad Mahadi Abdul,Phing Tan Ching

Abstract

This article describes the development of a wearable sensor glove for sign language translation and an Android-based application that can display words and produce speech of the translated gestures in real-time. The objective of this project is to enable a conversation between a deaf person and another person who does not know sign language. The glove is composed of five (5) flexible sensors and an inertial sensor. This article also elaborates the development of an Android-based application using the MIT App Inventor software that produces words and speech of the translated gestures in real-time. The sign language gestures were measured by sensors and transmitted to an Arduino Nano microcontroller to be translated into words. Then, the processed data was transmitted to the Android application via Bluetooth. The application displayed the words and produced the sound of the gesture. Furthermore, preliminary experimental results demonstrated that the glove successfully displayed words and produced the sound of thirteen (13) translated sign languages via the developed application. In the future, it is hoped that further upgrades can produce a device to assist a deaf person communicates with normal people without over-reliance on sign language interpreters.

Publisher

International Association for Educators and Researchers (IAER)

Subject

Electrical and Electronic Engineering,General Computer Science

Reference21 articles.

1. Bryan Berrú-Novoa, Ricardo González-Valenzuela and Pedro Shiguihara-Juárez, "Peruvian sign language recognition using low resolution cameras", in Proceedings of the 2018 IEEE XXV International Conference on Electronics, Electrical Engineering and Computing (IEEE INTERCON 2018), 8-10 August 2018, Lima, Peru, E-ISBN: 978-1-5386-5491-0, DOI: 10.1109/INTERCON.2018.8526408, pp. 1-4, Published by IEEE, Available: https://ieeexplore.ieee.org/document/8526408.

2. Ariya Thongtawee, Onamon Pinsanoh and Yuttana Kitjaidure, "A Novel Feature Extraction for American Sign Language Recognition Using Webcam", in Proceedings of the 2018 11th Biomedical Engineering International Conference (IEEE BMEiCON 2018), 21-24 November 2018, Chiang Mai, Thailand, E-ISBN: 978-1-5386-5724-9, DOI: 10.1109/BMEiCON.2018.8609933, pp. 1-5, Available: https://ieeexplore.ieee.org/document/8609933.

3. Sakshi Sharma and Sukhwinder Singh, “Vision-based hand gesture recognition using deep learning for the interpretation of sign language”, in Expert Systems with Applications, Online ISSN: 0957-4174, Vol. 182, p. 115657, 15 November 2021, Published by Elsevier, DOI: 10.1016/j.eswa.2021.115657, Available: https://www.sciencedirect.com/science/article/abs/pii/S0957417421010484.

4. Neil Buckley, Lewis Sherrett and Emanuele Lindo Secco, “A CNN sign language recognition system with single & double-handed gestures", in Proceedings of the 2021 IEEE 45th Annual Computers, Software, and Applications Conference 2021 (COMPSAC), 12-16 July 2021, Madrid, Spain, Online ISBN: 978-1-6654-2464-6, E-ISBN: 978-1-6654-2463-9, DOI: 10.1109/COMPSAC51774.2021.00173, pp. 1250-1253, Published by IEEE, Available: https://ieeexplore.ieee.org/document/9529449.

5. Polurie Venkat, Vijay Kishore, M. V. D. Prasad, Ch. Raghava Prasad and R. Rahul, "4-Camera model for sign language recognition using elliptical fourier descriptors and ANN", in Proceedings of the 2015 International Conference on Signal Processing and Communication Engineering Systems (IEEE SPACES 2015), 2-3 January 2015, Guntur, India, Online ISBN: 978-1-4799-6109-2, DOI: 10.1109/SPACES.2015.7058288, pp. 34-38, Published by IEEE, Available: https://ieeexplore.ieee.org/document/7058288.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3