Novel Approach to Detect Cortical Visual Impairment Using Mobile Application

Abstract

Cortical Visual Impairment (CVI) is a disorder which is most common among children, and it happens due to the damage to the visual pathways of the brain. It has become the leading cause of childhood blindness. Latest research and available diagnosis methods are clinical approaches, and the absence of an early effective screening method is identified. A mobile application is introduced from this research to detect the CVI conditions of the children between the ages of 4 to 6 early. The detection is done under the 4 main characteristics of CVI which are color preference, visual field preference, difficulties with visual complexity and need for movement. Each characteristic has an activity that consists of several steps. Under each activity a quiz is given to the parents to get a better understanding of the visual behavior of the child. Based on the results of the activities and the quizzes it determines whether the user has a specific characteristic. Based on the 4 outcomes it determines whether the user has a probability of CVI and if it exists the application provides the guidelines to the parents regarding the necessary steps to follow.

Country : Sri Lanka

1 Ms. Anjalie Gamage2 Mr. Sathira Hettiarachchi3 S.K. Wimalasiri4 A.I. Millewa5 W.O.M. Perera6 M.A.T.M. Nanayakkara

  1. Department of Information Technology - Sri Lanka Institute of Information Technology (SLIIT), Malabe, Sri Lanka
  2. Department of Information Technology - Sri Lanka Institute of Information Technology (SLIIT), Malabe, Sri Lanka
  3. Department of Information Technology - Sri Lanka Institute of Information Technology (SLIIT), Malabe, Sri Lanka
  4. Department of Information Technology - Sri Lanka Institute of Information Technology (SLIIT), Malabe, Sri Lanka
  5. Department of Information Technology - Sri Lanka Institute of Information Technology (SLIIT), Malabe, Sri Lanka
  6. Department of Information Technology - Sri Lanka Institute of Information Technology (SLIIT), Malabe, Sri Lanka

IRJIET, Volume 7, Issue 11, November 2023 pp. 267-274

doi.org/10.47001/IRJIET/2023.711037

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