Technology is advancing rapidly with various conveniences, tools, and aids to enhance the quality of human life. This also applies to the deaf community, who are not exempt from embracing and utilizing technology to facilitate their daily affairs, especially in terms of communication. Assistive technology is a supportive technology that can meet the needs of the deaf community in enhancing their abilities to perform daily tasks, regardless of the disabilities they may experience. Therefore, this literature review aims to identify relevant literature sources related to assistive technology developed for the deaf community. The study has analyzed 20 articles from the Google Scholar and Scopus databases. The research findings reveal that there are five mediums for developing assistive technology for the deaf community, including augmented reality, software, websites, mobile applications, and touch devices.
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Edries, A. A. M., & Ramli, A. A. (2023). Sign L- the development of sign language system for primary school student. Applied Information Technology and Computer Science, 4(1), 1419-1433.
Babour, A., Bitar, H., Alzamzami, O., Alahmadi, D., Barsheed, A., Alghamdi, A., & Almshjary, H. (2023). Intelligent gloves: An IT intervention for deaf-mute people. Journal of Intelligent Systems, 32(1).
Baglama, B., Haksiz, M., & Uzunboylu, H. (2018). Technologies used in education of hearing impaired individuals. International Journal of Emerging Technologies in Learning (iJET), 13(09), 53–63.
Jairam, B. G., and Ponnappa, D. (2023). Gesture Based Virtual Assistant for deaf-mutes using deep learning approach. 29th International Conference on Advanced Computing and Communication Systems (ICACCS), India
Ramones, F. A., Del-Rio-Guerra, M. S. (2023). Recent development in haptic devices desugned for hearing impaired people: a literature review, MDPI
Grushkin, D. A. (2006). The more things change the linguistics of American sign language: an introduction. The Journal of Deaf Studies and Deaf Education, 11(2): 269-272
Efthimiou, E., Fotinea, S., Goulas, T., Vacalopoulou, A., Vasilaki, K., & Dimou, A. (2019). Sign language technologies and the critical role of sl resources in view of future internet accessibility services. Technologies
Department of Social Welfare. (2023). The distribution of registered people with disabilities across states and categories until 31 January 2023. Access from https://www.jkm.gov.my
Kolberg, M. W. (2014). Hard of hearing is not deaf. Access from http://journals.lww.com/ajnonline/Fulltext/2014/02000/Hard_of_Hearing_Is_Not_Deaf.
Parvez, K., Khan, M., Iqbal, J., Tahir, M., Alghamdi, A., Alqarni, M., Alzaidi, A. A., & Javaid, N. (2019). Measuring effectiveness of mobile application in learning basic mathematical concepts using sign language. Sustainability, 11, 3064.
Joklitschke, J., Rott, B., & Schindler, M. (2018). Theories about Mathematical creativity in contemporary research: a literature review. Proceedings of the 42nd Conference of the International Group for the Psychology of Mathematics Education, pp. 171–178. PME.
Lindsay, G. J., Nakaji, M., Harry, K. M., Gallegos, N., Malcarne, V. L., Sadler, G. R. (2013). Ovarian Cancer: deaf and hearing women's knowledge before and after an educational video. J Cancer Educ.
Mamat, M., & Suhaimi, S. (2021). Basic skills of sign language assisted by Augmented Reality (AR) mobile application for students with hearing problems and the general public. Journal of ICT in Education, 8(3), 117-125.
Huzairi, M. A., Bahti, H. Z., & Meeze, S. R. (2019). Teaching methods of Fardhu Ain, to students with special needs. Seminar on Basic Class on Al-Quran and Fardhu Ain teaching (KAFA) education awareness.
Ramli, M. N., & Yee, S. L. (2023). Application of machine learning in Malaysia Sign Language Translation. Emerging Advances in Integrated Technology, 4(1), 1-6.
Nakpong, N., & Chanchalor, S. (2019). Interactive multimedia games to enhance the emotional intelligence of deaf and hard of hearing adolescents. International Journal of Instruction, 12(2), 305-320.
Izzati, N. (2021). MyKamus application as a facilitator of basic sign language learning. E-Prosiding Konvensyen Kearifan Nusantara Ke-3 Arif 2021: “Memartabatkan Kearifan Melayu Islam Nusantara.
Ramli, M. N., & Yee, S. K. (2023). Application of machine learning in Malaysia Sign Language translation. Emerging Advances in Integrated Technology
Razalli, A. R., Mamat, N., Razali, N. A., Yasin, M. H., Lakulu, M., Hashim, A. T., & Ariffin, A. (2021). Development of prayer mobile application software for the hearing impaired (deaf) based on Malaysian Sign Language. International Journal of Academic Research in Business and Social Sciences.
Rehabtool. (2014). Sciences and technology in the education of people with special needs. Journal of Sciences and Technology in Special Education, 2:143-158
Soetan, A. K., Onojah, A. O., Alaka, T. B., & Aderogba, A. J. (2020). Hearing impaired students’ self-efficacy on the utilization of assistive technology in Federal College of Education (Special) Oyo. International Journal for Cross-Disciplinary Subjects in Education, 11, 4245-4252.
Smedberg, E., Ronchi, E., & Hutchison, V. (2022). Alarm Technologies to wake sleeping people who are deaf or hard of hearing. Fire Technology, 58, 2485-2507.
Mohid, S. Z., & Zin, N. A. M. (2019). Education Software (Mudahku). Malaysian Journal of Information and Communication Technology, 4(2), 121-136.
Trumm, A., Lau, E. J. S., Farthing, S., & Breen, K. (2023). The use of video remote interpreting (VRI) in a medium secure psychiatric setting during the COVID-19 lockdown. The Journal of Forensic Practice, 25(3), 263-273.
Wang, X., Tang, L., Zheng, Q., Yang, X., & Lu, Z. (2023). IRDC-Net: an inception network with a residual module and dilated convolution for sign language recognition based on surface electromyography. Sensors, 23
