Measurement of Ocular Movement Abnormality in Pursuit Eye Movement (PEM) of Autism Spectrum Children with Disability

Measurement of Ocular Movement Abnormality in Pursuit Eye Movement (PEM) of Autism Spectrum Children with Disability
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DOI:
10.1109/acit-csii-bcd.2016.053
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发表时间:
2016-12
期刊:
2016 4th Intl Conf on Applied Computing and Information Technology/3rd Intl Conf on Computational Science/Intelligence and Applied Informatics/1st Intl Conf on Big Data, Cloud Computing, Data Science & Engineering (ACIT-CSII-BCD)
影响因子:
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通讯作者:
Ippei Torii;Kaoruko Ohtani;N. Ishii
Ippei Torii;Kaoruko Ohtani;N. Ishii
中科院分区:
其他
文献类型:
--
作者:
Ippei Torii;Kaoruko Ohtani;N. Ishii

文献摘要

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本研究探讨了诊断儿童自闭症谱系的客观性指标的发展及眼动测量对疗效的评价。图像处理技术是由用于眨眼检测的后像发展而来的。我们基于余像测量被试的眼睛偏离轨道的程度,然后将右眼和左眼的变化量相加,并显示总数。对数据进行校正后,设定了分布密度函数、累积频率函数和ROC曲线的识别边界。据此,建立了判断自闭症、正常、假阳性和假阴性的客观指标。此外,在二维坐标下分析数据后,自闭症组和正常发育组之间的差异变得明显。当我们用注视验证时,处于自闭症和非自闭症之间的儿童与正常发育儿童相比几乎没有差异。然而,在追捕过程中,肯定可以检测到身份识别边界。研究表明,这种通过后像捕捉眼球运动的检查技术可以清楚而容易地检测出社交障碍。在许多教育机构,这种方法可以用来评估未来的学习和疗效。
In this study, the development of the objectivity index for the diagnosis of the children who has autism spectrum and an evaluation of the curative effect using the ocular movement measurement is discussed. The image processing technique was developed by afterimage used in the blink determination. We measured the amount of the degree that the eyes of the subject run off the track based on the afterimage, then added up the amount of change of right and left eyes and showed the total. After correcting data, the identification border with density function of the distribution, cumulative frequency function, and ROC curve was set. With this, the objective index to determine autism, normal, false positive, and false negative was established. Furthermore, after analyzing the data in a two-dimensional coordinate, difference between the autism group and the normal developing group became clear. There were few differences in children who are on the borderline between autistic and non-autistic comparing with normal developing children when we validated with the fixation. However, the identification border could be detected definitely in pursuit. It was revealed that this inspection technique to capture eyeball movements by afterimage could detect disorders of sociability clearly and easily. In many educational institutions, this method can be used to evaluate learning and curative effects in future.