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SET: a pupil detection method using sinusoidal approximation.

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Summary
This summary is machine-generated.

A new mobile eye-tracking method, Spatial Event Tracking (SET), accurately captures eye movements in challenging outdoor lighting. This low-cost solution enables research outside controlled lab settings.

Keywords:
dark pupilellipse fittingeye trackinghead mounted devicepupil detection

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Area of Science:

  • Computer Vision
  • Human-Computer Interaction
  • Biomedical Engineering

Background:

  • Mobile eye-tracking is difficult in natural environments due to variable lighting.
  • Existing methods struggle with dynamic and extreme outdoor lighting conditions.
  • Need for accessible analysis tools for low-cost eye-tracking devices.

Purpose of the Study:

  • To develop a fast and accurate mobile eye-tracking method for natural environments.
  • To overcome limitations of current eye-tracking techniques in uncontrolled lighting.
  • To provide an open-source solution for researchers.

Main Methods:

  • Developed a novel eye-tracking method named "SET" (Spatial Event Tracking).
  • Tested SET using datasets of outdoor (Natural) and indoor (CASIA-Iris-Thousand) eye images.
  • Compared SET performance against two open-source alternatives.

Main Results:

  • SET demonstrated superior performance in outdoor conditions with extreme lighting variations.
  • SET was faster than alternatives in indoor conditions with minimal accuracy loss.
  • The method proved effective even in uncontrolled and dynamic lighting scenarios.

Conclusions:

  • SET provides a high-performance, low-cost mobile eye-tracking solution for natural environments.
  • The toolkit is accessible to non-technical researchers via MATLAB and DLL.
  • Enables eye-tracking research beyond artificial laboratory settings.