Enhancing Sign Language Learning with Augmented Reality

Authors

  • Hawa Mohd Ekhsan Universiti Teknologi MARA, Perlis Branch, Arau Campus
  • Mohamad Daniel Muhamad Khairi Universiti Teknologi MARA, Perlis Branch, Arau Campus
  • Jiwa Noris Hamid Universiti Teknologi MARA, Perlis Branch, Arau Campus

DOI:

https://doi.org/10.24191/jcrinn.v7i1.277

Keywords:

augmented reality, mobile application, sign language, disability

Abstract

Sign language is the communication language used by people with disabilities, especially deaf and hearing-impaired people. The communication between normal and disabled people using sign language will help them carry out their daily activities. Unfortunately, normal people are not aware of the importance of sign language because they are not directly dealing with disabled persons. Besides, some normal people found that sign language is difficult to learn. This study focuses on developing a mobile application for sign language with augmented reality features. This application is targeted at normal people as a sign language learning tool, and augmented reality will make the learning process effective and exciting. The methodology for this study is the ADDIE model that consists of five phases, namely Analysis, Design, Development, Implementation, and Evaluation. This application will assist the users in learning sign language interactively and interestingly. The evaluation of the application was done by the expert in the related background and the normal people. The usability test result revealed that the sign language application is usable for normal people to know and learn the basic sign language. In conclusion, the sign language application is an interesting application for normal people to use and learn sign language.

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References

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Published

2022-03-30

How to Cite

Mohd Ekhsan, H., Muhamad Khairi, M. D. ., & Hamid, J. N. (2022). Enhancing Sign Language Learning with Augmented Reality. Journal of Computing Research and Innovation, 7(1), 147–154. https://doi.org/10.24191/jcrinn.v7i1.277

Issue

Section

General Computing