Assistive Technology Evolving as Intelligent System

Amlan Basu (), Lykourgos Petropoulakis (), Gaetano Di Caterina () and John Soraghan ()
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Amlan Basu: University of Strathclyde, CeSIP, Royal College Building
Lykourgos Petropoulakis: University of Strathclyde, CeSIP, Royal College Building
Gaetano Di Caterina: University of Strathclyde, CeSIP, Royal College Building
John Soraghan: University of Strathclyde, CeSIP, Royal College Building

A chapter in New Trends in Computational Vision and Bio-inspired Computing, 2020, pp 289-303 from Springer

Abstract: Abstract Different evolving technologies surround humans today. Among the various technologies, Assistive Technology has still not established itself firmly because there is an absence of proper integration of this technology with human life. However, in the future, it will become one of the most important and vital phenomena in everyone’s life. Because humans want to make their life easier and longer and these are the reasons for the rapid growth in demand for Assistive Technology. Therefore, improvements in the technology and the way it is applied are essential and, for this reason, there is a requirement of a detailed study of the technology. This paper demonstrates the different milestones achieved in assistive technology by using different techniques to attempt to improve intelligence in assistive systems; and also, it describes the gaps that are still present even after such extensive works and, which are required to be either resolved or bridged. This study is done to understand where the assistive technology is today and in which direction it needs to get directed.

Keywords: Assistive technology; Artificial neural networks; Artificial intelligence; Machine learning; Intelligent systems (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-41862-5_27

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DOI: 10.1007/978-3-030-41862-5_27

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