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Alexza: a mobile application for dyslexics utilizing artificial intelligence and machine learning concepts

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dc.contributor.author Rajapakse, S
dc.contributor.author Polwattage, D
dc.contributor.author Guruge, U
dc.contributor.author Jayathilaka, I
dc.contributor.author Edirisinghe, T
dc.contributor.author Thelijjagoda, S
dc.contributor.editor Wijesiriwardana, CP
dc.date.accessioned 2022-12-05T05:52:44Z
dc.date.available 2022-12-05T05:52:44Z
dc.date.issued 2018
dc.identifier.citation S. Rajapakse, D. Polwattage, U. Guruge, I. Jayathilaka, T. Edirisinghe and S. Thelijjagoda, "ALEXZA: A Mobile Application For Dyslexics Utilizing Artificial Intelligence And Machine Learning Concepts," 2018 3rd International Conference on Information Technology Research (ICITR), 2018, pp. 1-6, doi: 10.1109/ICITR.2018.8736130. en_US
dc.identifier.uri http://dl.lib.uom.lk/handle/123/19650
dc.description.abstract Dyslexia can be explained as a neurological learning disability which causes difficulties in reading, word decoding, comprehension, short-term memory, writing, spelling, and speaking. People who are diagnosed with dyslexia tend to show signs of low self-esteem and anxiety since they can't interact with the society in a way that their peers do. Many applications available in this domain help them by correcting their issues by playing games and reading some hard-coded texts or pdf books. This correcting process takes time and dyslexics become helpless when coping with their day-to-day activities. This paper describes results of an evaluation of a prototype mobile application which helps the dyslexic users to deal with their reading difficulties in real life successfully, while they are receiving proper treatments. This prototype can identify the texts around them and read it loudly so that user can understand and will be allowed to customize the chunking, scrolling and highlighting of words according to their disability levels. By integrating dictionary support with the phonic and morphological structure of the word, the user will be able to comprehend difficult and complex words easily. In addition, the study also explores the use of a machine learning approach to improve the effectiveness of the learning dyslexic complex words. en_US
dc.language.iso en en_US
dc.publisher Information Technology Research Unit, Faculty of Information Technology, University of Moratuwa, Sri Lanka en_US
dc.relation.uri https://ieeexplore.ieee.org/document/8736130/ en_US
dc.subject Dyslexia en_US
dc.subject Image Processing en_US
dc.subject Text-to-Speech en_US
dc.subject Machine Learning en_US
dc.subject Dictionary en_US
dc.subject OCR en_US
dc.subject AIML en_US
dc.title Alexza: a mobile application for dyslexics utilizing artificial intelligence and machine learning concepts en_US
dc.type Conference-Full-text en_US
dc.identifier.faculty IT en_US
dc.identifier.department Information Technology Research Unit, Faculty of Information Technology, University of Moratuwa. en_US
dc.identifier.year 2018 en_US
dc.identifier.conference 3rd International Conference on Information Technology Research 2018 en_US
dc.identifier.proceeding Proceedings of the 3rdth International Conference in Information Technology Research 2018 en_US
dc.identifier.proceeding Proceedings of the 3rd International Conference in Information Technology Research 2018 en_US
dc.identifier.email srrajapakse1@gmail.com en_US
dc.identifier.email ediri@live.com en_US
dc.identifier.email samantha.t@sliit.lk en_US
dc.identifier.doi doi: 10.1109/ICITR.2018.8736130 en_US


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  • ICITR - 2018 [34]
    International Conference on Information Technology Research (ICITR)

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