calibration tests for wearable eye-tracking glasses
Python Jupyter Notebook
Switch branches/tags
Nothing to show
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Failed to load latest commit information.
PupilLabs
SMI
Tobii
analysis
exposition/figs
gazeMappingPipeline
scripts
task
.gitignore
README.md

README.md

Glasses Calibration

This repository contains:

  1. Analysis pipeline for automated dynamic gaze mapping
  2. Code and results for accuracy and precision comparisons across two models of wearable eye-tracker

Analysis Pipeline:

Wearable eye-trackers introduce the challenge of translating recorded gaze locations from a egocentric coordinate system (i.e. the outward facing camera on the glasses which records the participant's point-of-view) and a fixed reference stimulus in the environment. This pipeline is used to detect a specific target stimulus in the enviorment, and then transform the gaze data to be expressed relative to the target:

This pipeline currently supports the following wearable eye-trackers:

  • Pupil Labs
  • Tobii Pro Glasses 2
  • SMI ETG 2

For more information look in: gazeMappingPipeline/gazeMappingGuide.md

Accuracy/Precision Comparisons

We benchmarked accuracy and precision performance across 3 models of wearable eye-tracker (Pupil Labs 120 Hz Binocular, Tobii Pro Glasses 2, SMI ETG 2)

For results and stats, see: analysis/calibrationAnalyses.md