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>

本数据集包含以自闭症谱系障碍（Autism Spectrum Disorder, ASD）为特定研究方向的眼动扫描路径可视化成果。其核心思路是将眼球运动的动态特征转化为视觉模式，进而可通过图像分析技术开展与诊断相关的研究任务。该图像数据集已对外开放，可供其他旨在探究眼动技术在自闭症谱系障碍场景中可用性的研究使用。本数据集有望为基于机器学习（Machine Learning）或图像处理技术的更多创新应用开发提供支撑。如需了解更多详情，请参阅下文的原始文献及项目官网。
**原始文献：** Carette, R.、Elbattah, M.、Dequen, G.、Guérin, J. 与 Cilia, F.（2019年2月）发表的《基于眼动扫描路径视觉模式预测自闭症谱系障碍》，收录于《第12届国际健康信息学大会（HEALTHINF 2019）会议论文集》。
**项目官网：**
https://www.researchgate.net/project/Predicting-Autism-Spectrum-Disorder-Using-Machine-Learning-and-Eye-Tracking
https://mahmoud-elbattah.github.io/ML4Autism/

搜集汇总

背景与挑战

背景概述

该数据集包含自闭症谱系障碍（ASD）眼动追踪扫描路径的可视化图像，旨在通过图像分析技术辅助诊断。数据集适用于机器学习或图像处理技术的应用开发，并公开支持相关研究。