Portable American Sign Language System using RF Signals and IoT Technology for Deaf-Blind People

Authors

  • Adam Wong Yoon Khang Centre for Telecommunication Research & Innovation (CeTRI), Fakulti Teknologi dan Kejuruteraan Elektronik dan Komputer (FTKEK), Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100, Durian Tunggal, Melaka, Malaysia
  • Jamil Abedalrahim Jamil Alsayaydeh Centre for Telecommunication Research & Innovation (CeTRI), Fakulti Teknologi dan Kejuruteraan Elektronik dan Komputer (FTKEK), Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100, Durian Tunggal, Melaka, Malaysia
  • Johar Akbar Mohamat Gani Centre for Telecommunication Research & Innovation (CeTRI), Fakulti Teknologi dan Kejuruteraan Elektronik dan Komputer (FTKEK), Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100, Durian Tunggal, Melaka, Malaysia
  • Tarani Bascar Centre for Telecommunication Research & Innovation (CeTRI), Fakulti Teknologi dan Kejuruteraan Elektronik dan Komputer (FTKEK), Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100, Durian Tunggal, Melaka, Malaysia
  • Azman Awang Teh Centre for Telecommunication Research & Innovation (CeTRI), Fakulti Teknologi dan Kejuruteraan Elektronik dan Komputer (FTKEK), Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100, Durian Tunggal, Melaka, Malaysia
  • Jaysuman Pusppanathan Sport Innovation & Technology Centre (SiTC), Institute of Human Centered Engineering (iHumen), Faculty of Engineering, Universiti Teknologi Malaysia, 81310 Skudai Johor, Malaysia
  • Andrii Oliinyk Department of Software Tools, National University «Zaporizhzhia Polytechnic», 64 Zhukovskoho str., Zaporizhzhya, Ukraine

DOI:

https://doi.org/10.37934/araset.45.1.7989

Keywords:

RFID, Python, ASL, Raspberry Pi, IoT

Abstract

The Internet of Things (IoT) has revolutionized connectivity, enhancing accessibility to devices and information. This advancement addresses challenges faced by deaf-blind individuals, such as slow learning and memory issues. A new ASL learning kit has been developed to address these challenges, featuring physical and interactive elements for an engaging experience. Two learning methods are available: one involves RFID sign language cards tapped on an RFID reader, triggering an LCD visualizer with ASL alphabets and videos; the other method uses a Braille-embedded keyboard to provide audio feedback through ESpeak for ASL gestures. This ASL learning kit aims to boost the interest and effectiveness of deaf-blind students in learning ASL and Braille.

Author Biographies

Adam Wong Yoon Khang , Centre for Telecommunication Research & Innovation (CeTRI), Fakulti Teknologi dan Kejuruteraan Elektronik dan Komputer (FTKEK), Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100, Durian Tunggal, Melaka, Malaysia

adamwong@utem.edu.my

Jamil Abedalrahim Jamil Alsayaydeh, Centre for Telecommunication Research & Innovation (CeTRI), Fakulti Teknologi dan Kejuruteraan Elektronik dan Komputer (FTKEK), Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100, Durian Tunggal, Melaka, Malaysia

jamil@utem.edu.my

Johar Akbar Mohamat Gani, Centre for Telecommunication Research & Innovation (CeTRI), Fakulti Teknologi dan Kejuruteraan Elektronik dan Komputer (FTKEK), Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100, Durian Tunggal, Melaka, Malaysia

johar.akbar@utem.edu.my

Tarani Bascar, Centre for Telecommunication Research & Innovation (CeTRI), Fakulti Teknologi dan Kejuruteraan Elektronik dan Komputer (FTKEK), Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100, Durian Tunggal, Melaka, Malaysia

b081810186@student.utem.edu.my

Azman Awang Teh, Centre for Telecommunication Research & Innovation (CeTRI), Fakulti Teknologi dan Kejuruteraan Elektronik dan Komputer (FTKEK), Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100, Durian Tunggal, Melaka, Malaysia

azman.awangteh@utem.edu.my

Jaysuman Pusppanathan, Sport Innovation & Technology Centre (SiTC), Institute of Human Centered Engineering (iHumen), Faculty of Engineering, Universiti Teknologi Malaysia, 81310 Skudai Johor, Malaysia

jaysuman@utm.my

Andrii Oliinyk, Department of Software Tools, National University «Zaporizhzhia Polytechnic», 64 Zhukovskoho str., Zaporizhzhya, Ukraine

olejnikaa@gmail.com

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Published

2024-04-11

How to Cite

Adam Wong Yoon Khang, Jamil Abedalrahim Jamil Alsayaydeh, Johar Akbar Mohamat Gani, Tarani Bascar, Azman Awang Teh, Jaysuman Pusppanathan, & Andrii Oliinyk. (2024). Portable American Sign Language System using RF Signals and IoT Technology for Deaf-Blind People. Journal of Advanced Research in Applied Sciences and Engineering Technology, 45(1), 79–89. https://doi.org/10.37934/araset.45.1.7989

Issue

Vol. 45 No. 1: March (2025)

Section

Articles

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