Assistive technology evolving as intelligent system
Basu, Amlan and Petropoulakis, Lykourgos and Di Caterina, Gaetano and Soraghan, John (2018) Assistive technology evolving as intelligent system. In: International Conference on Computational Vision and Bio Inspired Computing, 2018-11-29 - 2018-11-30, Hotel Arcadia.
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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.
ORCID iDs
Basu, Amlan ORCID: https://orcid.org/0000-0002-0180-8090, Petropoulakis, Lykourgos ORCID: https://orcid.org/0000-0003-3230-9670, Di Caterina, Gaetano ORCID: https://orcid.org/0000-0002-7256-0897 and Soraghan, John ORCID: https://orcid.org/0000-0003-4418-7391;-
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Item type: Conference or Workshop Item(Paper) ID code: 66038 Dates: DateEvent18 November 2018Published5 November 2018AcceptedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering Depositing user: Pure Administrator Date deposited: 08 Nov 2018 11:08 Last modified: 21 Oct 2024 00:34 URI: https://strathprints.strath.ac.uk/id/eprint/66038