A Scalable Off-the-Shelf Framework for Measuring Patterns of Attention in Young Children and its Application in Autism Spectrum Disorder.
A Scalable Off-the-Shelf Framework for Measuring Patterns of Attention in Young Children and its Application in Autism Spectrum Disorder.
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DOI：
10.1109/taffc.2018.2890610
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发表时间：
2021-07
影响因子：
11.2
通讯作者：
Sapiro, Guillermo
中科院分区：
文献类型：
--
作者：
Bovery, Matthieu;Dawson, Geraldine;Hashemi, Jordan;Sapiro, Guillermo
关键词：
自闭症谱系障碍（ASD）与社会信息处理缺陷和社会交往困难有关，ASD患者表现出非典型的注意力和凝视。传统上，凝视研究依赖于在实验室中使用昂贵的设备来监测注意力的精确和受限的手段。在这项工作中，我们开发了一种低成本的现成的替代品，用于测量注意力，可以在自然环境中使用。104名16-31个月的儿童（适合ASD筛查和诊断的年龄范围，其中22名被诊断患有ASD）的头部和虹膜位置使用iPad中的前置摄像头记录，同时他们在设备屏幕上观看显示动态刺激的电影，左侧是社交刺激，右侧是非社交刺激。然后通过计算机视觉算法自动分析头部和虹膜位置，以检测注意力的方向。ASD组的儿童对电影的关注较少，与非社会刺激相比，对社会刺激的关注较少，并且经常将注意力集中在屏幕的一侧。所提出的方法提供了一种低成本的手段，监测注意适当设计的刺激，表明刺激设计和自动响应分析的整合结果的机会，使用现成的相机来评估行为生物标志物。
Autism spectrum disorder (ASD) is associated with deficits in the processing of social information and difficulties in social interaction, and individuals with ASD exhibit atypical attention and gaze. Traditionally, gaze studies have relied upon precise and constrained means of monitoring attention using expensive equipment in laboratories. In this work we develop a low-cost off-the-shelf alternative for measuring attention that can be used in natural settings. The head and iris positions of 104 16–31 months children, an age range appropriate for ASD screening and diagnosis, 22 of them diagnosed with ASD, were recorded using the front facing camera in an iPad while they watched on the device screen a movie displaying dynamic stimuli, social stimuli on the left and nonsocial stimuli on the right. The head and iris position were then automatically analyzed via computer vision algorithms to detect the direction of attention. Children in the ASD group paid less attention to the movie, showed less attention to the social as compared to the nonsocial stimuli, and often fixated their attention to one side of the screen. The proposed method provides a low-cost means of monitoring attention to properly designed stimuli, demonstrating that the integration of stimuli design and automatic response analysis results in the opportunity to use off-the-shelf cameras to assess behavioral biomarkers.
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