Head-mounted Eye Tracker
Head-mounted Eye Tracker - Related Videos
05:48
How to Build a Dichoptic Presentation System That Includes an Eye Tracker
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Cited by 13 •
2017
We recently proposed a method that allows dichoptic visual stimulus presentation and binocular eye tracking simultaneously1. The key is the combination of an infrared eye tracker and the corresponding infrared-transparent mirrors. This manuscript provides an in depth protocol for initial setup and everyday operation.
07:48
Dissection and Mounting of Drosophila Pupal Eye Discs
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Cited by 7 •
2014
The goal of this technique is to enable researchers to perform dissection, immunostaining and mounting of pupal eye discs from Drosophila melanogaster of any age.
07:09
Gaze in Action: Head-mounted Eye Tracking of Children's Dynamic Visual Attention During Naturalistic Behavior
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Cited by 36 •
2018
Young children do not passively observe the world, but rather actively explore and engage with their environment. This protocol provides guiding principles and practical recommendations for using head-mounted eye trackers to record infants' and toddlers' dynamic visual environments and visual attention in the context of natural behavior.
12:39
A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
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Cited by 8 •
2020
Using multimodal sensors is a promising way to understand the role of social interactions in educational settings. This paper describes a methodology for capturing joint visual attention from colocated dyads using mobile eye-trackers.
16:47
Dissection of a Mouse Eye for a Whole Mount of the Retinal Pigment Epithelium
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Cited by 45 •
2011
A formal demonstration of the dissection of a mouse eye, resulting in a whole mount of the retinal pigment epithelium.
FAQs
The infrared cameras record two eye features: the pupil and corneal reflection. Calibration algorithms interpret their relationship to convert camera-derived measurements into an estimate of gaze position. A separate scene-facing camera supplies the visual context needed to associate that estimated gaze with locations in the surrounding environment. Together, these signals produce gaze data that can be examined across time.
Calibration establishes how recorded pupil and corneal-reflection features correspond to estimated gaze positions. Without this computational step, the eye-camera measurements would not be transformed into interpretable locations in the scene. Its output is central to constructing gaze trajectories over time. In neuroscience, reliable calibration makes it possible to relate visual orienting to behavioral measures or neural recordings within the same investigation.
Allowing participants to move naturally changes the kind of visual behavior that can be measured. The system can follow gaze as people interact with real-world settings, rather than limiting observation to a fixed viewing arrangement. This broader behavioral context helps investigators examine attention and perception under conditions that may better reflect everyday visual exploration, while retaining gaze position as the measured outcome.
Gaze trajectories describe how estimated gaze position changes over time. Their patterns can be examined alongside behavioral measures to study visual attention, perception, and decision-making. When paired with neural recordings, they provide a behavioral index for investigating how brain activity relates to visual information processing. This combined view connects where someone looks with what they do and with recorded neural responses.
A typical recording setup combines an infrared eye-facing camera system with a scene-facing camera. The first captures pupil and corneal-reflection signals, while the second records the surrounding environment. Researchers then apply calibration algorithms to combine these inputs and estimate gaze position over time. The resulting data yield gaze trajectories that can be analyzed in relation to the viewed scene.
Neuroscientists can use this approach when they want to study attention, perception, or decision-making in settings that involve natural head and body movement. It is particularly informative when gaze needs to be interpreted together with the viewed environment, behavioral measures, or neural recordings. This combination supports questions about how visual information is selected and processed during realistic interactions.