GlassesViewer: Open-source software for viewing and analyzing data from the Tobii Pro Glasses 2 eye tracker

Diederick C. Niehorster*, Roy S. Hessels, Jeroen S. Benjamins

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

We present GlassesViewer, open-source software for viewing and analyzing eye-tracking data of the Tobii Pro Glasses 2 head-mounted eye tracker as well as the scene and eye videos and other data streams (pupil size, gyroscope, accelerometer, and TTL input) that this headset can record. The software provides the following functionality written in MATLAB: (1) a graphical interface for navigating the study- and recording structure produced by the Tobii Glasses 2; (2) functionality to unpack, parse, and synchronize the various data and video streams comprising a Glasses 2 recording; and (3) a graphical interface for viewing the Glasses 2’s gaze direction, pupil size, gyroscope and accelerometer time-series data, along with the recorded scene and eye camera videos. In this latter interface, segments of data can furthermore be labeled through user-provided event classification algorithms or by means of manual annotation. Lastly, the toolbox provides integration with the GazeCode tool by Benjamins et al. (2018), enabling a completely open-source workflow for analyzing Tobii Pro Glasses 2 recordings.

Original languageEnglish
Pages (from-to)1244-1253
Number of pages10
JournalBehavior Research Methods
Volume52
Issue number3
DOIs
Publication statusPublished - 1 Jun 2020

Funding

We thank Pieter Schiphorst for building the button box. The data and materials for the experiment are available at https://github.com/dcnieho/GlassesViewer and https://github.com/jsbenjamins/gazecode , and the data collection was not preregistered. Open access funding provided by Lund University.

Keywords

  • Data analysis
  • Event classification
  • Eye movements
  • Head-mounted eye tracking
  • Mobile eye tracking
  • Wearable eye tracking

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