Assistive Accessibility Suite

Padala Venkata Shivraj*, Lalam Sarika**, Katragadda Bindurmayee***, Anand Krupa Prabhu Joel****, CH. Sekhar*****
*-***** Vignan's Institute of Information Technology, Visakhapatnam, Andhra Pradesh, India.
Periodicity:February - April'2022
DOI : https://doi.org/10.26634/jfet.17.3.18782

Abstract

Assistive Accessibility Suite is a cross platform desktop application written in python which is specially tailored for people suffering from Amyotrophic lateral sclerosis, and people with disability to take control over their computer using their voice without any modifications to the current UI by implementing a carefully designed GUI system that uses a transparent grid on the screen. Our use of the present-day cutting-edge technology enables our users to navigate and interact with the personal computer of their choice using nothing more than their voice instead of a traditional input device in a very simple, elegant and seamless manner. Our purpose can be flexibly extended to consumer goods like the television, which are better used with voice instead of the traditional remote-control method. Our specially tailored suite is designed and specifically trained to aid and improve the accessibility for those suffering from Amyotrophic lateral sclerosis and Parkinson's disease, making their interaction with the present day computers and mobile phone completely seamless and easy to use without the need for an adaptation of the host website nor the modification of the computer they use, making this research incredibly successful in economic and social terms. Further extension of this research enables ease of use for everyone, with the advancement of voice recognition, rendering the use of any sort of remote communicating device (remote, mouse, keyboard) less suited for low level commands. This makes the Assistive accessibility suite a very attractive model for development for the greater good of the society with least amount of strain on resources (time and monetary) on both the user and the developer.

Keywords

Voice Control, Voice Automation, Desktop Automation.

How to Cite this Article?

Shivraj, P. V., Sarika, L., Bindurmayee, K., Joel, A. K. P., and Sekhar, CH. (2022). Assistive Accessibility Suite. i-manager’s Journal on Future Engineering & Technology, 17(3), 14-19. https://doi.org/10.26634/jfet.17.3.18782
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