Publication Type : Conference Proceedings
Publisher : International Conference on Soft Computing & Signal Processing, Springer Singapore,
Source : International Conference on Soft Computing & Signal Processing, Springer Singapore, Singapore (2019)
Url : https://link.springer.com/chapter/10.1007/978-981-15-2475-2_22
ISBN : 9789811524752
Keywords : Area of interest, dyslexia, Eye Tracking, Fixations, Regressions, Saccades, scanpath, Visual attention span
Campus : Bengaluru
School : Department of Computer Science and Engineering, School of Engineering
Department : Computer Science
Year : 2019
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.
Cite this Research Publication : Y. Navya, SriDevi, S., Akhila, P., Amudha J., and Jyotsna C, “Third Eye: Assistance for Reading Disability”, International Conference on Soft Computing & Signal Processing. Springer Singapore, Singapore, 2019.