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Non-visual representation of complex documents for use in digital talking books

Nazemi, Azadeh orcid logoORCID: 0000-0002-1138-309X (2016) Non-visual representation of complex documents for use in digital talking books. PhD thesis, Curtin University.

Abstract
According to a World Intellectual Property Organization (WIPO) estimation, only 5% of the world's one million print titles that are published every year are accessible to the approximately 340 million blind, visually impaired or print disabled people. Equal access to information is a basic right of all people. Essen- tial information such as flyers, brochures, event calendars, programs, catalogues and booking information needs to be accessible by everyone. Information helps people to make decisions, be involved in society and live independent lives. Ar- ticle 21, Section 4.2. of the United Nation's Convention on the rights of people with disabilities advocates the right of blind and partially sighted people to take control of their own lives. However, this entitlement is not always available to them without access to information. Today, electronic documents have become pervasive. For vision-impaired people electronic documents need to be available in specific formats to be accessible. If these formats are not made available, vision-impaired people are greatly disadvantaged when compared to the general population. Therefore, addressing electronic document accessibility for them is an extremely important concern. In order to address the accessibility issues of electronic documents, this research aims to design an affordable, portable, stand-alone and simple to use "Complete Reading System" to provide accessible electronic documents to vision impaired.
Metadata
Item Type:Thesis (PhD)
Date of Award:8 June 2016
Refereed:No
Supervisor(s):Murray, Iain
Subjects:Computer Science > Machine learning
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 3.0 License. View License
ID Code:23020
Deposited On:27 Feb 2019 11:54 by Azadeh Nazemi . Last Modified 03 Sep 2020 15:59
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