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A Review of Early Detection of Autism Based on Eye-Tracking and Sensing Technology

机译：基于眼动和感知技术的自闭症早期检测研究述评

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The current paper is a review of eye-tracking and sensing technologies that detect and monitor Autism Spectrum Disorder (ASD). Nowadays, the biggest challenge is the detection of autism before the age of 36 months. The diagnosis of autism in the early stage of life can help autistic children improve their social communication and quality of life. Therefore, the technology can support psychologists to get the right diagnoses of autism and accordingly the autistic children can get appropriate treatment for their condition. In this review, the focus is on eyetracking and sensing technologies. The autistic children have different attentional biases in social interactions that can be measured by eye-tracking technology. Moreover, the autistic children have some signs that can be easily detected by using the sensing technology such as hand flapping, body rocking and motion trackers.
机译：本文是对眼动追踪和传感技术的综述，该技术可检测和监测自闭症谱系障碍（ASD）。如今，最大的挑战是在36个月大之前发现自闭症。在生活的早期阶段对自闭症的诊断可以帮助自闭症儿童改善社交沟通和生活质量。因此，该技术可以支持心理学家对自闭症进行正确的诊断，从而使自闭症儿童能够对其状况进行适当的治疗。在这篇评论中，重点是眼动和传感技术。自闭症儿童在社交互动中有不同的注意力偏见，可以通过眼动追踪技术来衡量。此外，自闭症儿童的某些体征可以通过使用感应技术（例如拍手，身体摇摆和运动跟踪器）轻松检测到。

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