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Analyzing eye gaze of users with learning disability

Saluja, KS and JeevithaShree, DV and Arjun, S and Biswas, P and Paul, T (2019) Analyzing eye gaze of users with learning disability. In: 3rd International Conference on Graphics and Signal Processing, ICGSP 2019, 1 June 2019 - 3 June 2019, Hong Kong, pp. 95-99.

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Official URL: https://doi.org/10.1145/3338472.3338481


This paper investigates eye gaze movements of children with different reading abilities due to learning disability. We analyzed eye gaze fixations using cluster analysis and velocity-based fixation classification algorithms. We used a non-invasive, screen mounted, low-cost eye tracker to collect data from 30 participants including students with learning disabilities. We analyzed raw gaze points, fixations and saccades, and noted that the density of gaze points around fixation. Total number of fixations and regressions (backward gaze movement) were statistically significantly correlated to the reading ability of students. We concluded that by analyzing different eye movements for a representative reading task, we can detect early signs of learning disabilities such as dyslexia.

Item Type: Conference Paper
Publication: ACM International Conference Proceeding Series
Publisher: Association for Computing Machinery
Additional Information: The copyright for this article belongs to Association for Computing Machinery
Keywords: Cluster analysis; Eye movements; Nitrogen fixation; Signal processing, Classification algorithm; Dyslexia; Eye gaze tracking; Learning disabilities; Number of fixations; Reading abilities; Regression; Soft clustering, Eye tracking
Department/Centre: Division of Mechanical Sciences > Centre for Product Design & Manufacturing
Date Deposited: 27 Dec 2022 04:40
Last Modified: 27 Dec 2022 04:40
URI: https://eprints.iisc.ac.in/id/eprint/78543

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