Visualization of Eye-Tracking Scanpaths in Autism Spectrum Disorder: Image Dataset

We provide a dataset that includes visualizations of eye-tracking scanpaths with a particular focus Autism Spectrum Disorder (ASD). The key idea is to transform the dynamics of eye motion into visual patterns, and hence diagnosis-related tasks could be approached using image analysis techniques. The image dataset is publicly available to be used by other studies aiming to experiment the usability of eye-tracking within the ASD context. It is believed that the dataset can allow for the development of further interesting applications using Machine Learning or image processing techniques. For more info, please refer to the publication below and the project website.<br><b>Original Publication:</b>Carette, R., Elbattah, M., Dequen, G., Guérin, J, &amp; Cilia, F. (2019, February). Learning to predict autism spectrum disorder based on the visual patterns of eye-tracking scanpaths. <i>In Proceedings of the 12th International Conference on Health Informatics (HEALTHINF 2019).</i><i><br></i><b>Project Website:</b>https://www.researchgate.net/project/Predicting-Autism-Spectrum-Disorder-Using-Machine-Learning-and-Eye-Tracking<b><br></b><br>https://mahmoud-elbattah.github.io/ML4Autism/<br>