
Real-Life Survey of Assistive Technologies Developed for the Visually Impaired
Author(s) -
Muhammad Sheikh Sadi,
Mahfuza Khanom,
Md. Ashiqur Rahman,
Shidul Mursalin Yead,
Mohammad Azahar Alam
Publication year - 2021
Publication title -
review of computer engineering studies/review of computer engineer studies
Language(s) - English
Resource type - Journals
eISSN - 2369-0763
pISSN - 2369-0755
DOI - 10.18280/rces.080401
Subject(s) - visually impaired , arduino , raspberry pi , assistive technology , human–computer interaction , computer science , multimedia , applied psychology , engineering , simulation , embedded system , psychology , internet of things
The purpose of this study is to investigate the problems that the visually impaired are facing by depicting the outcome of real-life research conducted with the participation of around 100 people in a Blinds’ Institute, Khulna, Bangladesh. It represents the performance of assistive technologies developed for safe and comfortable navigation to help visually impaired people. To execute this research, an extensive objective and subjective experimental evaluation have been done with the help of Raspberry-Pi and Arduino Uno-based systems and the students at the blinds’ institute. The accuracy of the Raspberry-Pi-based system is 64% and the Arduino-based system is only 36%. These findings might help the researchers to understand and detect the most significant devices and highlight the performance to design and implement devices that would ensure proper safety, convenience, and independent mobility to the visually impaired.