Infrared Video Eye Tracker
Infrared Video 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.
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.
08:06
Eye Movement Monitoring of Memory
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Cited by 10 •
2010
Eye movement monitoring (or eye tracking) reveals where in space the eyes linger, when and for how long. Here, we demonstrate how eye tracking can be used to investigate the integrity of memory in multiple participant populations, without requiring verbal, or otherwise explicit, reports.
06:19
Eye Tracking in Cognitive Experiments
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2023
Eye tracking as the name suggests involves tracking of eye-movements. It is a non-invasive, sensitive tool that quantifies and measures eye-movements to describe an individuals' cognitive state. An eye-movement between two fixation points is called a saccade, which is one of the fastest motor movements in our body. By observing the profiles of these eye movements, scientists can better understand neural deficits in patients with cognitive impairments. In this video, we will first look at an...
07:30
Protocol for Producing Three-Dimensional Infrared Video of Freezing in Plants
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Cited by 1 •
2018
Here, we present a protocol to image a strawberry plant freezing in 3 dimensions. Two infrared cameras positioned at slightly different angles are used to produce a red-blue anaglyph video to observe the freezing of the plant in 3 dimensions.
FAQs
The device identifies visual features of the eye, especially the pupil and the corneal reflection produced by infrared illumination. Image-processing algorithms analyze the positions of these features and convert them into estimates of eye position and gaze direction. This process allows researchers to quantify where a participant looks without relying only on verbal reports or task performance.
Infrared illumination makes the pupil and corneal reflection detectable to infrared-sensitive cameras while participants perform a task. These visible features provide the input required for image-processing algorithms to estimate gaze. Because the recording can occur while the task continues, researchers can measure visual behavior without necessarily interrupting the participant’s ongoing responses to stimuli.
Recorded eye behavior can be summarized through measures such as gaze location, how long a gaze is held, and patterns of eye movement. Together, these measures describe both where participants direct attention and how they explore visual information. Researchers can then compare these observations with task conditions, stimuli, or behavioral responses.
Gaze duration indicates how long visual attention is maintained at a location, whereas patterns of eye movement describe how visual information is explored across a task. Considering both measures gives a broader behavioral picture than either measure alone. This distinction helps researchers examine sustained attention alongside active visual exploration and related responses to stimuli.
A typical workflow records the participant’s eyes with infrared-sensitive cameras while the participant completes a task or views stimuli. Image-processing algorithms then identify the pupil and corneal reflection, estimate gaze direction, and produce measures such as gaze location, gaze duration, and eye movements. Researchers can analyze these measures across task conditions or stimulus presentations.
Researchers use this approach when they need an objective measure of visual behavior during activities such as visual exploration, reading, attention tasks, or decision-making. The method can record gaze while participants engage with stimuli, helping investigators examine how visual behavior changes across conditions and relate those changes to observable task responses.
Eye-tracking data provide quantifiable measures that can be compared across controlled conditions, including gaze location, gaze-holding duration, and eye-movement patterns. Such comparisons reveal whether different stimuli or task circumstances produce different visual behaviors. In behavioral research, these outcomes help connect observable changes in gaze with cognitive processes involved in attention, reading, or decision-making.