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Research on Ocular Data Analysis and Eye Tracking in Divers

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2024, 29(8), pp.43-51
  • DOI : 10.9708/jksci.2024.29.08.043
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : July 19, 2024
  • Accepted : August 13, 2024
  • Published : August 30, 2024

Ye Jun Lee 1 Yongkuk Kim 1 Da Young Kim 1 Jeongtack Min 1 Min-Kyu Kim ORD ID 1

1한국로봇융합연구원

Accredited

ABSTRACT

This paper proposes a method for acquiring and analyzing ocular data using a special-purpose diver mask targeted at divers who primarily engage in underwater activities. This involves tracking the user's gaze with the help of a custom-built ocular dataset and a YOLOv8-nano model developed for this purpose. The model achieved an average processing time of 45.52ms per frame and successfully recognized states of eyes being open or closed with 99% accuracy. Based on the analysis of the ocular data, a gaze tracking algorithm was developed that can map to real-world coordinates. The validation of this algorithm showed an average error rate of about 1% on the x-axis and about 6% on the y-axis.

Citation status

* References for papers published after 2023 are currently being built.

This paper was written with support from the National Research Foundation of Korea.