Visual Acuity Assessment Device for Mute and/or Deaf-Mute Individuals
2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)
(2023), pp. 1-6
Mona Earl P. Bayono
a
,
Jejomar P. Cariaga
a
,
Nino E. Merencilla
a
,
Maribel A. Misola
a
,
Brian Edison D. Pantallano
a
,
Jude D. Tiu
a
,
Vincent Earl D. Villanueva
a
,
Paul Ezra S. Yango
a
a College of Engineering, FEU Institute of Technology, Manila, Philippines
Abstract: This paper is introduced as an exploration of how to utilize advanced technology and computing can assist individuals who are mute and/or deaf-mute individuals. It recognizes the rapid progress in technology and computing, which opens up opportunities to address the unique needs of this particular group. The research question addressed in this paper is how we can use accurate time sign language recognition to assist people suffering from mutism and deafness to make the healthcare system more inclusive and accessible to them, especially when taking visual acuity assessments which is normally needed for acquiring eyeglasses. The system comprises a microprocessor unit and a Python-based program that is used to facilitate the visual acuity assessment properly and accurately. The keyfindings of this paper suggest that realtime sign language recognition technology can significantly improve the healthcare experience for individuals who are suffering from mutism and deafness by facilitating communication and reducing barriers to access facilities for eye health care to person with disability like person who are mute and deaf. The study also highlights the need for further research and development so as to improve the accuracy and efficiency of sign language recognition technology for people who are mute and deaf.