自闭症筛查凝视模式的自动分析-密度方法

2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC) Pub Date : 2018-12-01 DOI:10.1109/ICSCCC.2018.8703321

P. Bhatia, A. Khosla, Gajendra Singh

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引用次数: 1

摘要

“视觉扫描反映了存在于每个人大脑中的世界模型”——摩西·艾泽曼。眼动追踪技术的进步已经在医学研究、游戏、自动化、人机交互等领域得到了广泛的应用。本文提出了一种自动研究凝视模式的研究工具，以区分自闭症谱系障碍和典型发展。凝视异常可以用来研究自闭症患者与正常人截然不同的感知世界的模型。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Automated analysis of Gaze Patterns for Autism Screening- Density Approach

“Visual scanning reflects a model of the world that exists inside the brain of each individual” – by Moshe Eizenman. Advancements in eye-tracking technology have led to some wide-ranging applications in fields of medical research, gaming, automation, Human- Computer Interaction(HCI) and many more. This paper presents an automated study of gaze patterns as an investigating tool to distinguish autism spectrum disorder from typical development. Gaze abnormality can be used to study the model of the world perceived by people with autism that is quite different from normal people.

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来源期刊

2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC)

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