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Authors: Romuald Carette 1 ; Mahmoud Elbattah 1 ; Federica Cilia 2 ; Gilles Dequen 1 ; Jean-Luc Guérin 1 and Jérôme Bosche 1

Affiliations: 1 Laboratoire MIS, Université de Picardie Jules Verne, Amiens, France ; 2 Laboratoire CRP-CPO, Université de Picardie Jules Verne, Amiens, France

ISBN: 978-989-758-353-7

Keyword(s): Autism Spectrum Disorder, Machine Learning, Eye-tracking, Scanpath.

Abstract: Autism spectrum disorder (ASD) is a lifelong condition generally characterized by social and communication impairments. The early diagnosis of ASD is highly desirable, and there is a need for developing assistive tools to support the diagnosis process in this regard. This paper presents an approach to help with the ASD diagnosis with a particular focus on children at early stages of development. Using Machine Learning, our approach aims to learn the eye-tracking patterns of ASD. The key idea is to transform eye-tracking scanpaths into a visual representation, and hence the diagnosis can be approached as an image classification task. Our experimental results evidently demonstrated that such visual representations could simplify the prediction problem, and attained a high accuracy as well. With simple neural network models and a relatively limited dataset, our approach could realize a quite promising accuracy of classification (AUC > 0.9).

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Paper citation in several formats:
Carette, R.; Elbattah, M.; Cilia, F.; Dequen, G.; Guérin, J. and Bosche, J. (2019). Learning to Predict Autism Spectrum Disorder based on the Visual Patterns of Eye-tracking Scanpaths.In Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, ISBN 978-989-758-353-7, pages 103-112. DOI: 10.5220/0007402601030112

@conference{healthinf19,
author={Romuald Carette. and Mahmoud Elbattah. and Federica Cilia. and Gilles Dequen. and Jean{-}Luc Guérin. and Jérôme Bosche.},
title={Learning to Predict Autism Spectrum Disorder based on the Visual Patterns of Eye-tracking Scanpaths},
booktitle={Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF,},
year={2019},
pages={103-112},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007402601030112},
isbn={978-989-758-353-7},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF,
TI - Learning to Predict Autism Spectrum Disorder based on the Visual Patterns of Eye-tracking Scanpaths
SN - 978-989-758-353-7
AU - Carette, R.
AU - Elbattah, M.
AU - Cilia, F.
AU - Dequen, G.
AU - Guérin, J.
AU - Bosche, J.
PY - 2019
SP - 103
EP - 112
DO - 10.5220/0007402601030112

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