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Mathematical formula recognition and transformation to a linear format suitable for vocalization

Nazemi, Azadeh orcid logoORCID: 0000-0002-1138-309X and Murray, Iain (2013) Mathematical formula recognition and transformation to a linear format suitable for vocalization. International Journal on Computer Science and Engineering, 5 (9). pp. 847-855. ISSN 0975-3397

Abstract
Students with vision impairment encounter barriers in studying mathematics particularly in higher education levels. They must have an equal chance with sighted students in mathematics subjects. Making mathematics accessible to the vision impaired users is a complicated process. This accessibility can be static or dynamic, in static accessibility the user is presented with a representation of the entire mathematic expression passively such as using Braille, dynamic accessibility allows the user to navigate the mathematical content in accordance with its structure interactively such as audio format[1]. MATHSPEAK is an application that accepts objects described in LaTeX and converts it to a linear or sequential representation suitable for vocalization, describing functions to people with severe vision impairment. MATHSPEAK provides interactive dynamic access to mathematic expressions by rendering them to audio format. This paper describes a method to create plain text from images of mathematical formulae and convert this text to LaTeX which is used in the earlier developed algorithm, “MATHSPEAK”.
Metadata
Item Type:Article (Published)
Refereed:Yes
Uncontrolled Keywords:LaTeX, Assistive Technology; Vision Impairment; Mathematic expression
Subjects:UNSPECIFIED
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Publisher:Engg Journals Publications
Official URL:http://www.enggjournals.com/ijcse/doc/IJCSE13-05-0...
Copyright Information:© 2013 Engg Journals Publications
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:23032
Deposited On:25 Feb 2019 16:41 by Thomas Murtagh . Last Modified 03 Sep 2020 16:04
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