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An Extended Method for Saccadic Eye Movement Measurements Using a Head-Mounted Display.

Youngkeun Lee1, Yadav Sunil Kumar1, Daehyeon Lee2

  • 1Department of Electronic Engineering, Kwangwoon University, Seoul 01897, Korea.

Healthcare (Basel, Switzerland)
|April 25, 2020
PubMed
Summary

This study introduces a virtual reality-based Developmental Eye Movement (DEM) test to precisely measure saccadic eye movement, including rest and transfer times, offering a more detailed analysis than traditional methods.

Keywords:
developmental eye movement testeye-trackinghead-mounted displaysaccadic eye movementvirtual reality

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Area of Science:

  • Ophthalmology
  • Human Factors Engineering
  • Virtual Reality Technology

Background:

  • Saccadic eye movement is crucial for daily activities like driving and sports.
  • Traditional tests like the Developmental Eye Movement (DEM) and King-Devick (K-D) tests offer limited measurement parameters, primarily focusing on 'adjusted time'.
  • A need exists for more detailed analysis of saccadic eye movement, including speed and reaction rates, differentiating rapid and slow movements.

Purpose of the Study:

  • To propose and validate an extended method for analyzing saccadic eye movement using virtual reality.
  • To incorporate the measurement of 'rest time' and 'transfer time' alongside 'adjusted time' in saccadic eye movement analysis.
  • To enhance the detailed assessment of eye movement dynamics beyond traditional testing capabilities.

Main Methods:

  • Implementation of a virtual reality-based Developmental Eye Movement (DEM) test using a FOVE virtual reality (VR) head-mounted display with an integrated eye-tracking module.
  • Testing the method on 30 subjects with normal vision and no ophthalmologic conditions at a 2-diopter (50-cm) viewing distance.
  • Recording gaze-tracking logs to measure 'adjusted time', 'rest time' (for focusing on targets), and 'transfer time' (for moving between targets).

Main Results:

  • The proposed virtual reality method successfully acquired detailed parameters of saccadic eye movement, including 'adjusted time', 'rest time', and 'transfer time'.
  • Gaze-tracking logs provided comprehensive data on eye movement dynamics during the virtual DEM test.
  • The results demonstrated the feasibility of analyzing more saccadic eye movement parameters compared to traditional methods.

Conclusions:

  • The virtual reality-based approach offers a more comprehensive and detailed analysis of saccadic eye movement.
  • This extended method provides valuable insights into eye movement speed and reaction rates by measuring distinct time components.
  • The findings suggest a significant advancement in the assessment of saccadic eye movement for applications in fields like driving safety and sports performance analysis.