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Mobile three dimensional gaze tracking.

Josef Stoll¹, Stefan Kohlbecher, Svenja Marx

¹Neurophysics, Philipps-University Marburg, Germany. stollj@physik.uni-marburg.de

Studies in Health Technology and Informatics

|February 22, 2011

Summary

This study introduces the EyeSeeCam, a mobile eye-tracking device. It reliably measures fixation distance and 3D gaze points, advancing mobile eye-tracking for clinical applications.

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Area of Science:

Human-Computer Interaction
Neuroscience
Ophthalmology

Background:

Mobile eye-tracking enables attention research in real-world scenarios.
The EyeSeeCam is a mobile device recording gaze-oriented movies.
Previous systems lacked precise 3D gaze information.

Purpose of the Study:

To enhance the EyeSeeCam for precise 3D gaze point determination.
To validate the extraction of reliable vergence signals for fixation distance measurement.
To expand the application range of mobile eye-tracking.

Main Methods:

Utilized the EyeSeeCam's gaze camera to record user's direction of gaze.
Developed algorithms to extract vergence signals for distance measurement.
Extended the system to compute 3D fixation points.

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Main Results:

The EyeSeeCam reliably extracts vergence signals for fixation distance.
The system accurately determines gaze direction for short distances.
The enhanced system provides precise 3D fixation point localization.

Conclusions:

The enhanced EyeSeeCam significantly extends mobile gaze-tracking capabilities.
This advancement is crucial for tasks involving 3D peri-personal space, like grasping.
The technology represents a step towards routine clinical application of mobile eye-tracking.