Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/3241
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dc.contributor.authorPriyashan Sandunhetti, S. H. S-
dc.contributor.authorSanduni Madara, P. G-
dc.contributor.authorDilitha Ranjuna, G. P-
dc.contributor.authorPrabhash, K. V. A. S-
dc.contributor.authorJayakody, J. A. D. C. A.-
dc.contributor.authorLokuliyana, S-
dc.date.accessioned2023-02-09T03:39:50Z-
dc.date.available2023-02-09T03:39:50Z-
dc.date.issued2022-12-26-
dc.identifier.citationP. S. S. H. S, S. M. P. G, D. R. G. P, P. K. V. A. S, J. A. D. C. A. Jayakody and S. Lokuliyana, "Digital Assistant to Aid Individuals with Print Disabilities to Interpret Printed Materials," 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT), Kharagpur, India, 2022, pp. 1-6, doi: 10.1109/ICCCNT54827.2022.9984550.en_US
dc.identifier.isbn978-1-6654-5262-5-
dc.identifier.urihttps://rda.sliit.lk/handle/123456789/3241-
dc.description.abstractPrint disability is the difficulty or inability to read printed material due to a perceptual, physical, or visual disability. An individual can be classified as a print-disabled individual if the person requires alternative access or accessible formats (Braille, Audio) to gain information from printed materials. Print disability can be caused by vision impairments, blindness, physical dexterity problems, learning disabilities, brain injuries, cognitive impairments, and literacy difficulties. There are millions of people around the world who cannot interpret printed materials due to the above difficulties. This can affect the individual’s day-to-day life as well as their studies. Even though there are tools to interpret printed materials into text, most of them are not sufficient to aid print-disabled individuals and lack accessibility options within the tools. Therefore, we propose to develop a mobile-based application to aid print disabled individuals to interpret printed materials which they cannot access without any assistance otherwise. This application will be based on machine learning and image processing and will be able to interpret printed materials including text and paragraphs, mathematical formulas, tables, charts, and images. Also, the application will be designed with accessibility features which enable print disabled individuals to use the application without any third-party assistance.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT);-
dc.subjectDigital Assistanten_US
dc.subjectAid Individualsen_US
dc.subjectPrint Disabilitiesen_US
dc.subjectInterpret Printed Materialsen_US
dc.titleDigital Assistant to Aid Individuals with Print Disabilities to Interpret Printed Materialsen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/ICCCNT54827.2022.9984550en_US
Appears in Collections:Department of Computer Systems Engineering
Research Papers - Dept of Computer Systems Engineering
Research Papers - IEEE
Research Papers - SLIIT Staff Publications

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