Abstract
Around 5–20% of students across the world have learning difficulties which occur due to several reasons. Dyslexia is the most common form of learning difficulty associated with difficulties in reading, writing, spelling and organization. Researchers show that the eye movements can reflect the difficulties faced by an individual while reading. Third eye uses eye gaze information from the eye tracker and analyzes it to extract features which can identify the reading skills of the subject and further broadly categorizes them based on their reading skills. An automated report is generated which depicts the areas of difficulty faced by the reader through various visualization techniques. A correlation study done between normal readers and dyslexic readers showcases significant differences in their eye movements in terms of fixation duration, fixation count and regressions. This platform can be used to identify the reading skills of the student which improves their self-confidence and motivates them toward further augmentation.
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Acknowledgement
This study was partially funded by Karnataka State Council for Science and Technology (KSCST), 41st Series Student Project programme, 2017–18. An oral ethical agreement has been made with Samvidh Psych Center, Bengaluru and BRS Global School, Bengaluru, for the data collection. We would like to thank those institutes for their help in data collection for the project.
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Navya, Y., SriDevi, S., Akhila, P., Amudha, J., Jyotsna, C. (2020). Third Eye: Assistance for Reading Disability. In: Reddy, V., Prasad, V., Wang, J., Reddy, K. (eds) Soft Computing and Signal Processing. ICSCSP 2019. Advances in Intelligent Systems and Computing, vol 1118. Springer, Singapore. https://doi.org/10.1007/978-981-15-2475-2_22
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DOI: https://doi.org/10.1007/978-981-15-2475-2_22
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