International Journal of Computer Science & Network Security

International Journal of Computer Science & Network Security (국제컴퓨터통신보호논문지학회)
권호 표지
DOI QR코드

DOI QR Code

Helping People with Visual Disability Using AI

  • Received : 2024.01.05
  • Published : 2024.01.30
Download PDF
⟨ Previous Next ⟩

Abstract

Artificial Intelligence (AI) technology has evolved rapidly in recent years and is used in everything from banking to email management to surgery, but without the help of the visible, most of the fun features of the Internet include visual impairment. It benefits people with disabilities. The main purpose of this study is to find ways to help people with visual impairments using AI technology. A visually impaired request is made for the visually impaired. For example, when a message arrives that the program will notify you by voice (reads the sender's name, read the message, and replies to it if necessary), this is a special program installed on your mobile phone. This program uses a customized algorithm developed in Python to convert written text to voice, read text, and convert voice to written text on a message when a visually impaired person wants to respond. Then it sends the response in the form of a text message. Therefore, the research should lead to programs for people with visual impairments. This program makes mobile phones easier and more comfortable to use and makes the daily life easier for visual impairments.

Keywords

Acknowledgement

I want to thank my university, "University of Ha'il" for providing us with all the needed facilities to complete this master's degree. I want to acknowledge and thank my department for allowing me to conduct my research and providing any assistance requested. Finally, I would like to thank all my friends and colleagues who have helped me on this project. Their enthusiasm and willingness to provide feedback made completing this study an enjoyable experience.

References

  1. Alan Turing Institute.: AI and Inclusion (2019). https://www.turing.ac.uk/research/research-projects/ai-and-inclusion. Accessed 5 Jan 2021
  2. M R Morris, A Perkins, C Yao, S Bahram, J P Bigham, and S K Kane. 2016. "With most of it being pictures now, I rarely use it": Understanding Twitter's Evolving Accessibility to Blind Users. In Proc CHI '16
  3. World Health Organization. Visual impairment and blindness www.who.int/mediacentre/factsheets/fs282/en/index.html. 14.11.2015. Search in Google Scholar
  4. Qawqzeh Y, Alharbi MT, Jaradat A, Abdul Sattar KN. A review of swarm intelligence algorithms deployment for scheduling and optimization in cloud computing environments. PeerJ Comput Sci. 2021 Aug 25;7:e696. doi: 10.7717/peerj-cs.696. PMID: 34541313; PMCID: PMC8409329.
  5. Li Deng. (2018), AI in the Rising Wave of Deep Learning. The historical path and future outlook. IEEE Signal Processing Magazine, vol. 35, no. 1, pp. 180-177, Jan. 2018, doi: 10.1109/MSP.2017.2762725.
  6. Morrison, Cecily and Doherty, Kevin, and Thieme, Anja, and Taylor, Alex. (2017). Imagining AI Applications with People with Visual Disabilities using Tactile Ideation. Conference Paper. https://www.researchgate.net/publication/320542884
  7. Padma Shneha, Prathyusha Reddy, V.M.Megala. (2018). AI for vision impaired people. International Journal of Latest Trends in Engineering and Technology Special Issue April-2018, pp. 031-036 eISSN:2278-621X
  8. Al Majali, Sameeh Zaid. (2020). The impact of empowering people with special needs from information and communication technology. Arab Journal of Disability and Talent Sciences. Vol 4, No. 14.
  9. S. M. Felix, S. Kumar and A. Veeramuthu, "A Smart Personal AI Assistant for Visually Impaired People," 2018 2nd International Conference on Trends in Electronics and Informatics (ICOEI), Tirunelveli, India, 2018, pp. 1245-1250, doi: 10.1109/ICOEI.2018.8553750.
  10. Saad, U., Afzal, U., Eid, M., & El-Issawi, A. (2017). A model to measure QoE for virtual personal assistant. Multimedia Tools & Applications, 76(10), 12517-12537. doi: 10.1007/s11042-016-3650-5.
  11. Smith, Peter and Smith. Laura. (2021). AI and disability: too much promise, yet too little substance? AI and Ethics 1:81-86. Vol. 3, Issue 1, 175-193. Retrieved from https://search.mandumah.com/Record/993346.
  12. Eckel, E. (2019, June 8). Apple's Siri: A cheat sheet. Retrieved from https://www.techrepublic.com/article/apples-siri-the-smart-persons-guide/