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Title: | An assessment of machine learning-based training tools to assist Dyslexic patients |
Authors: | Sathsara, G.W.C. Rupasinghe, T.D. Sumanasena, S.P. |
Keywords: | Dyslexia Machine learning Training tools |
Issue Date: | 2018 |
Publisher: | International Research Conference on Smart Computing and Systems Engineering - SCSE 2018 |
Citation: | Sathsara,G.W.C., Rupasinghe,T.D. and Sumanasena,S.P. (2018). An assessment of machine learning-based training tools to assist Dyslexic patients. International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka. p.66. |
Abstract: | Dyslexia is a language based disability, where the patients often have difficulties with reading, spelling, writing and pronouncing words. The reading speed of Dyslexics tend to be lower than their equivalents, because of slow letter and word processing. Inspite of this disorder, a dyslexic person can be trained to read in normal speed. There are manual methods and some technical improvements can be reported such as the live-scribe smart pen, Dragon Naturally Speaking, Word processors, and Video Games. This study provides an assessment about the Machine Learning (ML) based techniques used for Dyslexic patients via a systematic review of literature, and a proposed ML based algorithm that will lay foundation for future research in the areas of machine learning, augmented and healthcare training devices. |
URI: | http://repository.kln.ac.lk/handle/123456789/18957 |
Appears in Collections: | Smart Computing and Systems Engineering - 2018 (SCSE 2018) |
Files in This Item:
File | Description | Size | Format | |
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SCSE Proceedings - (66).pdf | 519.97 kB | Adobe PDF | View/Open |
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