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Development of Assessment Tool Judging Autism by Ocular Movement Measurement

  • Ippei ToriiEmail author
  • Kaoruko Ohtani
  • Takahito Niwa
  • Naohiro Ishii
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9739)

Abstract

In this study, the development of the objectivity index for the diagnosis of the children who has Kanner syndrome with a lack of the communication ability and an evaluation of the curative effect using the ocular movement measurement is discussed. In past study, we developed communication applications “Eye Talk” and “Eye Tell” for people who have difficulty in conversation and writing such as children with physical disability, ALS patients or elderlies using the blink determination system. The team of Dr. Kitazawa in Graduate School of Frontier Biosciences in Osaka University performed the clinical application to distinguish Kanner syndrome group by measuring “where and when” he/she looks at using Tobii eye tracker. Our study is a judgment by the ocular movement measurement. We developed the image processing technique by afterimage used in the blink determination. First the eye area is captured by a front camera of laptop PC. Second, we extracted the pixels of pupils with 30–40 fps of accuracy and digitized eyeball movements. We converted the difference in eyeball movements between the right and left eyes into a graph and define it in multidimensional measure. 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 we corrected data, we set the identification border with density function of the distribution, cumulative frequency function, and ROC curve. With this, we established an objective index to determine Kanner syndrome, normal, false positive, and false negative. Furthermore, after analyzing the data in a two-dimensional coordinate, difference between autistic group and typical developmental group became clear. There were few differences in children who are on the border line between autistic and non-autistic comparing with typical developmental 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.

Keywords

Oculomotor Autism Kanner syndrome ROC curve Afterimage 

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Ippei Torii
    • 1
    Email author
  • Kaoruko Ohtani
    • 1
  • Takahito Niwa
    • 1
  • Naohiro Ishii
    • 1
  1. 1.Department of Information ScienceAichi Institute of TechnologyAichiJapan

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