Dyslexia Detection Using Artificial Intelligence and Eye Movement Data

DD-V1:

The source codes, experimental test-beds and, the datasets of our paper entitled "Identifying Dyslexia in School Pupils from Eye Movement and Demographic Data Using Artificial Intelligence," By Soroosh Shalileh,, Dmitry Ignatov, Anastasiya Lopukhina and Olga Dragoy.

Center for Language and Brain, HSE University, Myasnitskaya Ulitsa, 20, Moscow, 101000, Moscow, RF.

Published by PloS One Journal.

• The first artificial intelligence-based solution with robust results to detect dyslexia from eye-movement data of first- to sixth-grade Russian-speaking school students.

• A comprehensive study of the performance and hyperparameter fine-tuning of ten classifications and seven regression algorithms.

• Propose the first largest eye-movement data set in this area of research consisting of three discrete target values and a continuous one.

• Determine the importance of features in detecting dyslexia which is partially aligned with domain knowledge.

Purpose of the repo:

This repository was developed as part of our AI-related research to address the research question.

• Using this repository for commercial purposes/non-academic/non-research requires receiving official permission from HSE University authorities. The individuals who violate this shall be treated according to rules and regulations.

Citation:

If you use this repository, e.g., our code, data, etc., for non-commercial purposes, please cite us:

@article{shalileh2023identifying,
  title={Identifying dyslexia in school pupils from eye movement and demographic data using artificial intelligence},
  author={Shalileh, Soroosh and Ignatov, Dmitry and Lopukhina, Anastasiya and Dragoy, Olga},
  journal={Plos one},
  volume={18},
  number={11},
  pages={e0292047},
  year={2023},
  publisher={Public Library of Science San Francisco, CA USA}
}

DD-V2:

The source codes, experimental test-beds and, the datasets of our paper entitled "IDeep learning models to detect dyslexia from eye fixation parameters," By Soroosh Shalileh,, [Maria Krylova,] (https://www.hse.ru/en/org/persons/401614204) Olga Dragoy.

The paper is under the review in Q1 journal.