Video-based Analysis Reveals Atypical Social Gaze in People with Autism Spectrum Disorder

arXiv - QuanBio - Neurons and Cognition Pub Date : 2024-09-01 DOI:arxiv-2409.00664

Xiangxu Yu, Mindi Ruan, Chuanbo Hu, Wenqi Li, Lynn K. Paul, Xin Li, Shuo Wang

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Abstract

In this study, we present a quantitative and comprehensive analysis of social gaze in people with autism spectrum disorder (ASD). Diverging from traditional first-person camera perspectives based on eye-tracking technologies, this study utilizes a third-person perspective database from the Autism Diagnostic Observation Schedule, 2nd Edition (ADOS-2) interview videos, encompassing ASD participants and neurotypical individuals as a reference group. Employing computational models, we extracted and processed gaze-related features from the videos of both participants and examiners. The experimental samples were divided into three groups based on the presence of social gaze abnormalities and ASD diagnosis. This study quantitatively analyzed four gaze features: gaze engagement, gaze variance, gaze density map, and gaze diversion frequency. Furthermore, we developed a classifier trained on these features to identify gaze abnormalities in ASD participants. Together, we demonstrated the effectiveness of analyzing social gaze in people with ASD in naturalistic settings, showcasing the potential of third-person video perspectives in enhancing ASD diagnosis through gaze analysis.

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基于视频的分析揭示了自闭症谱系障碍患者的非典型社交目光

在本研究中，我们对自闭症谱系障碍（ASD）患者的社交凝视进行了定量和全面的分析。与传统的基于眼动跟踪技术的第一人称视角不同，本研究利用了自闭症诊断观察表第二版（ADOS-2）访谈视频中的第三人称视角数据库，其中包括自闭症谱系障碍参与者和神经症患者作为参照组。我们采用计算模型，从参与者和考官的视频中提取并处理了与凝视相关的特征。实验样本根据是否存在社交凝视异常和 ASD 诊断分为三组。本研究对四种凝视特征进行了定量分析：凝视参与度、凝视方差、凝视密度图和凝视转移频率。总之，我们证明了在自然环境中分析 ASD 患者社交凝视的有效性，展示了第三人称视频视角通过凝视分析增强 ASD 诊断的潜力。

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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arXiv - QuanBio - Neurons and Cognition

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