[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.12941/jksiam.2021.25.327

A STUDY ON PUPIL DETECTION AND TRACKING METHODS BASED ON IMAGE DATA ANALYSIS

CHOI, HANA (DEPARTMENT OF INNOVATION CENTER FOR INDUSTRIAL MATHEMATICS, NATIONAL INSTITUTE FOR MATHEMATICAL SCIENCES)
GIM, MINJUNG (DEPARTMENT OF INNOVATION CENTER FOR INDUSTRIAL MATHEMATICS, NATIONAL INSTITUTE FOR MATHEMATICAL SCIENCES)
YOON, SANGWON (DEPARTMENT OF RESEARCH UNIT, DN CORPORATION)

Publication Information

Journal of the Korean Society for Industrial and Applied Mathematics / v.25, no.4, 2021 , pp. 327-336 More about this Journal

Abstract

In this paper, we will introduce the image processing methods for the remote pupillary light reflex measurement using the video taken by a general smartphone camera without a special device such as an infrared camera. We propose an algorithm for estimate the size of the pupil that changes with light using image data analysis without a learning process. In addition, we will introduce the results of visualizing the change in the pupil size by removing noise from the recorded data of the pupil size measured for each frame of the video. We expect that this study will contribute to the construction of an objective indicator for remote pupillary light reflex measurement in the situation where non-face-to-face communication has become common due to COVID-19 and the demand for remote diagnosis is increasing.

Keywords

Pupillary Light Reflex Test; Real-Time Image Processing; Object Detection;

Citations & Related Records

Reference

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