Related Experiment Video
Updated: Jul 4, 2025
09:47
A Method to Quantify Visual Information Processing in Children Using Eye Tracking
Published on: July 9, 2016
17.5K
Computational methodology to support functional vision assessment in premature infants: A viability study
Ricardo Pires Maciel1, Bruna Samantha Marchi2, Henrique da Silva da Silveira3
1Special Interdisciplinary Coordination of Information and Communication Technologies, Federal University of Santa Catarina, Araranguá, SC, Brazil.
Neurorehabilitation
|February 2, 2024
Summary
This study developed a computational method to track iris movements, aiding in assessing vision in premature infants. The new technique shows promise for evaluating visual function in young children.
Area of Science:
- Ophthalmology
- Computer Science
- Pediatrics
Background:
- Premature newborns face elevated risks of impaired visual development and vision loss.
- Early detection of visual issues is crucial for timely intervention in infants.
Purpose of the Study:
- To create a computational method for assessing infant functional vision by tracking iris distances.
- To establish a novel approach for objective visual function evaluation in premature infants.
Main Methods:
- An experimental study involving children up to two years old.
- Image capture protocol with visual stimuli to assess tracking, visual field, and fixation.
- Development of an algorithm using OpenCV and FaceMesh for facial point and iris tracking from video data.
Main Results:
- A dataset of 41 children's visual responses was compiled.
- The developed software successfully tracked iris positions during visual function tests.
- A feasibility study with 8 children found no statistical difference between preterm and term groups in analyzed visual variables.
Conclusions:
- The computational methodology effectively tracks iris distances, offering a tool to assist in evaluating visual function in children.
- This approach provides a potential method for objective assessment of visual development in infants.
