Automated Evaluation System for Human Pupillary Behavior


Analyze the human pupil behavior is a non-invasive method for evaluating neurological activity. This method contributes to the medical field, because changes in pupillary behavior can be correlated with several health conditions, such as Parkinson’s, Alzheimer’s, autism and diabetes. Analyzing human pupil behavior is simple and low-cost, and may be used as complementary diagnosis. Therefore, this work aims to develop an automated system to evaluate the human pupillary behavior. The solution consists of a portable recording device, a pupillometer; integrated with a recording and evaluation software based on computer vision. The system is able to stimulate, record, measure and extract relevant features of the human pupillary behavior. The results shows that the proposed system is fast and accurate, and can be used as an assessment tool for real and extensive clinical practice and research.

In Proceedings of 16th World Congress on Health and Biomedical Informatics (MEDINFO)

Text in English.

Joyce Siqueira
Joyce Siqueira
Master’s Student

Fabrizzio Soares is bla bla bla.

Fabrizzio Soares
Fabrizzio Soares
Associate Professor and CS Chair

Fabrizzio Soares is a professor of Computer Science, Information Systems and Software Engineering at INF/UFG. His research interests include Computer Vision, Human Computer Interaction, Machine Learning and Programming topics. He is the leader of the Pixellab group, which develops solutions for accesibilty, Precision Agriculture, and Interactive Systems.