Journal of the Korean Society for Industrial and Applied Mathematics

Korean Society for Industrial and Applied Mathematics (한국산업응용수학회)
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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)
  • Received : 2021.11.22
  • Accepted : 2021.12.15
  • Published : 2021.12.25
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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.

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Acknowledgement

The work of H. Choi and M. Gim was supported by National Institute for Mathematical Sciences(NIMS) grant funded by the Korea government( MSIT ) No.B21810000. The work of S. Yoon was supported by the technology transfer and commercialization Program through INNOPOLIS Foundation funded by the Ministry of Science and ICTm 2020-JB-RD-0199.

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