@everyone 📣 New article in our Guide Series 📣
What changes when an eye tracker no longer needs to be calibrated?
Quite a lot!
In Part 2 of “What makes a good eye tracker?”, we look at calibration-free eye tracking and why we think it matters.
Removing calibration requirements means: • Less setup between participants and recording sessions • No instructed fixation task before or during an experiment • Easier handovers when multiple people use the same device • Simpler integration into applications and industrial workflows • Eye tracking for participants who may not be able to reliably complete a conventional calibration task
These changes can make studies and applications possible that would otherwise be impractical, difficult to scale, or in some cases not feasible at all.
We also take a closer look at how NeonNet enables Neon to measure gaze without wearer-specific calibration, how this differs from conventional approaches, and when optional personalization can still be useful.
Read Part 2: Calibration-free operation: https://pupil-labs.com/blog/calibration-free-eye-tracking
Explore the "What makes a good eye tracker?" series: https://pupil-labs.com/blog/what-makes-a-good-eye-tracker
@everyone 📣 A New Alpha Lab is live 📣
Real-time Visualizations
What does Neon's real-time eye tracking data actually look like?
Neon provides a rich set of signals, from 3D eye pose to pupil diameter, that can be streamed live. But raw numbers in a console only tell part of the story.
In our latest Alpha Lab, we show how to turn the data into interactive 2D and 3D visualizations using Python.
The examples are modular and can be adapted for experiment monitoring, biofeedback applications, gaze-contingent systems, or other real-time eye-tracking workflows.
Explore the Alpha Lab: https://docs.pupil-labs.com/alpha-lab/rt-visualizations/ Check out the repo: https://github.com/pupil-labs/real-time-visualizations
@everyone 📣 Two new articles in our “What makes a good eye tracker?” series are out! 📣
Useful eye tracking depends on measurements that hold up under the conditions where they are collected, and on having the right data streams for the question being asked. Our latest articles look at both.
Part 3, Robustness We look at headset slippage, changing light, differences in eye appearance, and large or even extreme gaze angles. We explain how Neon handles these challenging conditions and how we evaluated it outside the laboratory.
Part 4, Data streams We look beyond gaze, at fixations and saccades, physical pupil diameter, 3D eye poses, eye openness and blinks, head movement, video, and audio. We explain how these measurements can be used and why sampling rate matters.
Read them here: Part 3, Robustness: https://pupil-labs.com/blog/eye-tracker-robustness Part 4, Data streams: https://pupil-labs.com/blog/neon-data-streams Full series: https://pupil-labs.com/blog/what-makes-a-good-eye-tracker
P.s. Sound on! 🔈