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Gaze in Action: Head-mounted Eye Tracking of Children's Dynamic Visual Attention During Naturalistic Behavior
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Gaze in Action: Head-mounted Eye Tracking of Children's Dynamic Visual Attention During Naturalistic Behavior

Published on: November 14, 2018

Calibration algorithm for eyetracking with unrestricted head movement.

Jeffrey S Johnson1, Li Liu, Geb Thomas

  • 1Department of Psychology, University of Iowa, Iowa City, Iowa 52242, USA. jeffrey-johnson-2@uiowa.edu

Behavior Research Methods
|June 8, 2007
PubMed
Summary

Researchers can now track eye movements with free head motion using a new calibration method. This eye-head calibration algorithm provides accurate fixation point estimation for cost-effective, nonproprietary eyetracking solutions.

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Area of Science:

  • Biomedical Engineering
  • Neuroscience
  • Human-Computer Interaction

Background:

  • Traditional eyetracking systems often restrict head movement, limiting natural behavior.
  • Existing commercial systems lack detailed, accessible calibration procedure literature.
  • Developing cost-effective, nonproprietary eyetracking solutions is a research priority.

Purpose of the Study:

  • To present a novel calibration procedure for eyetracking that permits unrestricted head and body movement.
  • To detail the eye-head calibration algorithm for calculating fixation points.
  • To facilitate the development of open-source and affordable eyetracking technologies.

Main Methods:

  • Developed an eye-head calibration algorithm integrating head-mounted eyetracker data with 3-D motion-tracking system data.
  • The algorithm calculates the fixation point using combined eye-position and head-position data.
  • Validated the procedure through an experiment demonstrating robust eye-position estimation during free head movement.

Main Results:

  • The proposed calibration procedure successfully provides robust eye-position estimates.
  • The method allows for relatively unrestricted head and/or body movement during eye tracking.
  • Experimental results confirm the efficacy of the eye-head calibration algorithm.

Conclusions:

  • The presented calibration procedure enables accurate eye movement tracking with head mobility.
  • Making calibration details public encourages the creation of accessible, nonproprietary eyetracking systems.
  • This research supports the advancement of affordable and flexible eyetracking solutions for scientific exploration.