A Computational Study of Expressive Facial Dynamics in Children with Autism.
A Computational Study of Expressive Facial Dynamics in Children with Autism.
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DOI：
10.1109/taffc.2016.2578316
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发表时间：
2018-01
影响因子：
11.2
通讯作者：
Narayanan SS
中科院分区：
文献类型：
--
作者：
Guha T;Yang Z;Grossman RB;Narayanan SS
几项研究表明，典型的成年观察者通常认为自闭症儿童的面部表情不典型、尴尬或不太吸引人。尽管面部表情产生的质量存在明显的缺陷，但对其潜在的机制和特征知之甚少。本文采用计算的方法来研究面部表情的细节，高功能自闭症（HFA）儿童。其目的是揭示面部表情的特征，特别是不同于那些典型的发展中国家的儿童，否则很难通过视觉检查检测。我们使用的运动捕捉数据与HFA的主题和通常开发的主题，而他们产生了各种面部表情。这些数据进行分析，以调查如何与HFA儿童的整体和局部面部动态不同于他们的典型发展的同龄人。我们的主要观察结果包括HFA组的动态面部行为的复杂性降低，主要来自眼部区域。
Several studies have established that facial expressions of children with autism are often perceived as atypical, awkward or less engaging by typical adult observers. Despite this clear deficit in the quality of facial expression production, very little is understood about its underlying mechanisms and characteristics. This paper takes a computational approach to studying details of facial expressions of children with high functioning autism (HFA). The objective is to uncover those characteristics of facial expressions, notably distinct from those in typically developing children, and which are otherwise difficult to detect by visual inspection. We use motion capture data obtained from subjects with HFA and typically developing subjects while they produced various facial expressions. This data is analyzed to investigate how the overall and local facial dynamics of children with HFA differ from their typically developing peers. Our major observations include reduced complexity in the dynamic facial behavior of the HFA group arising primarily from the eye region.