Wearable Eye Tracker
Wearable Eye Tracker - Related Videos
05:48
How to Build a Dichoptic Presentation System That Includes an Eye Tracker
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Cited by 12 •
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.
10:03
Conformable Wearable Electrodes: From Fabrication to Electrophysiological Assessment
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Cited by 4 •
2022
Two recent technologies-tattoo and textiles-have demonstrated promising results in cutaneous sensing. Here, we present the fabrication and evaluation methods of tattoo and textile electrodes for cutaneous electrophysiological sensing. These electronic interfaces made of conductive polymers outperform the existing standards in terms of comfort and sensitivity.
10:07
Using Fiberless, Wearable fNIRS to Monitor Brain Activity in Real-world Cognitive Tasks
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Cited by 162 •
2015
Monitoring brain activity outside the lab without physical constraints presents methodological challenges. A fiberless, wearable functional Near Infrared Spectroscopy (fNIRS) system was used to measure brain activity during an ecological prospective memory task. It was demonstrated that this system could be used to monitor brain activity during non-lab based experiments.
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.
FAQs
Infrared illumination makes the eye’s optical features detectable to the device’s cameras. The system identifies pupil position and corneal reflections, then software uses those signals to estimate gaze direction. This combination converts visible changes in eye position into measurements that can be analyzed alongside the participant’s behavior and surroundings.
These events describe different temporal and spatial aspects of looking. Fixations identify periods when gaze remains relatively focused, while saccades represent shifts between locations. A scan path combines the sequence of viewed locations and movements, helping researchers examine how attention unfolds during perception, learning, decision-making, or other tasks.
Wearable systems allow eye-movement measurement while participants walk, interact, or respond to stimuli in less restricted settings. That mobility preserves information about the environmental context surrounding a behavior. Researchers can therefore examine visual attention during natural or real-world activities rather than limiting observation to conditions inside a laboratory.
A participant wears the device while completing an activity that may involve walking, interacting, or responding to stimuli. Infrared cameras record the eyes, and software estimates gaze direction from pupil position and corneal reflections. Researchers then examine gaze events and scan paths in relation to the task and surrounding environment.
Eye-movement data provide an objective record of where and when visual attention is directed, while the participant’s activity supplies behavioral context. Comparing gaze events with actions, responses, or environmental changes can help connect visual behavior with cognitive processes. Interpretation is strongest when the recorded looking pattern is considered together with what the person was doing.
The method can contribute to studies of attention, perception, learning, decision-making, and natural behavior. Its value comes from linking gaze measurements with the contexts in which behavior occurs, including activities that involve movement or interaction. In behavior research, this supports analysis of how people visually engage with stimuli during realistic tasks.