Location-Independent Intelligent Interface Customized to the Aid and Response of the Differently Abled

Abstract

Arghya Kusum Das and Swapnanil Chakraborty

Today, the most feasible and easy form of Human-Computer Interaction (HCI) is the use of mobile applications. Mobile applications have become an integral part of our day-to-day lives reaching out to each corner of society and catering to the problems. The applications available are customized, but the incorporation of intelligence especially for the disabled to assist their lives is absent. This motivates the research work specified in this paper is non-commercial application development for society. Designing applications that are highly scalable and intelligent to minimize problems faced by differently abled, is explicitly covered here. The proposed system makes use of Speech-To-Text and Text-To-Speech conversion techniques for the back end and provides enhanced scalability by allowing users to regulate the functionality of the application, customized based on their preferred region, topic, and time stamps. Applications and devices meant for the differently abled do exist, however, most of them have unidirectional and singular functionality with minimum customizability. In most cases, very complicated hardware systems are associated with the proposed work which in turn makes it expensive to maintain. The proposed application aims to offer voice-based functionality automation, remote health monitoring, and pattern recognition for recommendation systems, explicitly for the visually impaired and the solitary elderly. The reading of remote health monitoring is close to the actual value with a standard deviation of 1.45% or 0.76 on the average which validates the working methodology adopted.

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