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A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
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Positional head-eye tracking outside the lab: an open-source solution.

Peter Hausamann1, Christian Sinnott2, Paul R MacNeilage2

  • 1Technical University of Munich, Munich, Germany.

Proceedings. Eye Tracking Research & Applications Symposium
|March 30, 2021
PubMed
Summary
This summary is machine-generated.

Researchers developed a low-cost, open-source head and eye tracking system using mobile devices. This robust framework enables accurate movement measurement outside the lab for various applications.

Keywords:
Eye trackinggaze estimationhead trackinglocomotionmobileopen sourcesimultaneous localization and mapping

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Area of Science:

  • Biomedical Engineering
  • Neuroscience
  • Human-Computer Interaction

Background:

  • Traditional head and eye tracking is lab-bound, limiting real-world motion analysis.
  • Existing mobile trackers offer potential for outdoor measurements but lack integration.

Purpose of the Study:

  • To create a robust, low-cost, and usable head and eye tracking system for use outside laboratory settings.
  • To integrate the Pupil Core eye tracker and Intel RealSense T265 motion tracker into a unified framework.

Main Methods:

  • Developed a hardware and software framework combining Pupil Core and Intel RealSense T265.
  • Utilized 3D-printed components for hardware modifications.
  • Created open-source software for data acquisition and analysis.

Main Results:

  • Demonstrated accurate measurement of head and eye movements in both laboratory (vestibulo-ocular reflex) and real-world (natural locomotion) tasks.
  • Validated the system's usability and robustness in diverse environments.

Conclusions:

  • The proposed framework offers a viable, affordable solution for simultaneous head and eye tracking outside the lab.
  • This system has potential for broader applications in research and technology development.