Early screening of autism spectrum disorder (ASD) is crucial since early intervention evidently confirms significant improvement of functional social behavior in toddlers. This article attempts to bootstrap the response-to-instructions (RTIs) protocol with vision-based solutions in order to assist professional clinicians with an automatic autism diagnosis. The correlation between detected objects and toddler’s emotional features, such as gaze, is constructed to analyze their autistic symptoms. Twenty toddlers between 16_32 months of age, 15 of whom diagnosed with ASD, participated in this study. The RTI method is validated against human codings, and group differences between ASD and typically developing (TD) toddlers are analyzed. The results suggest that the agreement between clinical diagnosis and the RTI method achieves 95% for all 20 subjects, which indicates vision-based solutions are highly feasible for automatic autistic diagnosis.

中文翻译：

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通过指令响应协议对幼儿自闭症进行早期筛查


自闭症谱系障碍 (ASD) 的早期筛查至关重要，因为早期干预显然可以证实幼儿功能性社交行为的显着改善。本文尝试使用基于视觉的解决方案引导指令响应 (RTI) 协议，以协助专业临床医生进行自闭症自动诊断。构建检测到的物体与幼儿情绪特征（例如凝视）之间的相关性来分析他们的自闭症症状。 20 名 16-32 个月大的幼儿参与了这项研究，其中 15 名被诊断患有自闭症谱系障碍 (ASD)。 RTI 方法针对人类编码进行了验证，并分析了 ASD 和典型发育 (TD) 幼儿之间的群体差异。结果表明，所有 20 名受试者的临床诊断与 RTI 方法之间的一致性达到 95%，这表明基于视觉的解决方案对于自动自闭症诊断非常可行。