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

Autor: Kaoruko Ohtani, Naohiro Ishii, Ippei Torii
Rok vydání: 2016
Předmět:
Zdroj: 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).
DOI: 10.1109/acit-csii-bcd.2016.053
Popis: 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.
Databáze: OpenAIRE