Guess What?: Towards Understanding Autism from Structured Video Using Facial Affect.
Guess What?: Towards Understanding Autism from Structured Video Using Facial Affect.
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DOI：
10.1007/s41666-018-0034-9
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发表时间：
2019
影响因子：
5.9
通讯作者：
Wall DP
中科院分区：
文献类型：
--
作者：
Kalantarian H;Washington P;Schwartz J;Daniels J;Haber N;Wall DP
自闭症谱系障碍(ASD)是一种疾病，据估计，在美国每59名儿童中就有一名受到影响。由于诊断的延迟和覆盖范围的不平衡，有必要开发新的提供护理的方法，通过利用移动工具和可穿戴设备在临床环境之外使用，适当增强儿童和照顾者的能力。在这篇文章中，我们提出了一个移动字谜风格的游戏，猜猜是什么？，用于获取ASD儿童的结构化视频，用于行为疾病研究。然后，我们将人脸跟踪和情感识别算法应用于通过猜猜得到的视频？玩游戏吧。通过分析对各种提示做出反应的面部情感，我们证明了参与和面部情感可以使用实时图像处理算法进行量化和测量：这是未来治疗、家庭筛查和基于家庭视频的结果测量的重要第一步。我们对8名受试者的研究证明了这个系统的有效性，它可以通过一个引人入胜的游戏化移动平台从ASD儿童那里获得高度情绪化的结构化视频，同时揭示出在参与者中产生多样化情绪的最有效的提示和类别。
Autism Spectrum Disorder (ASD) is a condition affecting an estimated 1 in 59 children in the United States. Due to delays in diagnosis and imbalances in coverage, it is necessary to develop new methods of care delivery that can appropriately empower children and caregivers by capitalizing on mobile tools and wearable devices for use outside of clinical settings. In this paper, we present a mobile charades-style game, Guess What?, used for the acquisition of structured video from children with ASD for behavioral disease research. We then apply face tracking and emotion recognition algorithms to videos acquired through Guess What? game play. By analyzing facial affect in response to various prompts, we demonstrate that engagement and facial affect can be quantified and measured using real-time image processing algorithms: an important first-step for future therapies, at-home screenings, and outcome measures based on home video. Our study of eight subjects demonstrates the efficacy of this system for deriving highly emotive structured video from children with ASD through an engaging gamified mobile platform, while revealing the most efficacious prompts and categories for producing diverse emotion in participants.
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影响因子：
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作者：
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通讯作者：
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影响因子：
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DOI：
10.1016/j.jaac.2012.08.018
发表时间：
2012-11
影响因子：
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作者：
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通讯作者：
Webb SJ