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Updated: May 25, 2026

How to Build a Dichoptic Presentation System That Includes an Eye Tracker
Published on: September 6, 2017
earEOG via periauricular electrodes to facilitate eye tracking in a natural headphone form factor
Tobias King1, Michael Knierim2, Philipp Lepold3
1Karlsruhe Institute of Technology, TECO/Pervasive Computing Systems, 76131, Karlsruhe, Germany. tobias.king@kit.edu.
Abstract:
Eye tracking technology is frequently utilized to diagnose eye and neurological disorders, assess sleep and fatigue, study human visual perception, and enable novel gaze-based interaction methods. However, traditional eye tracking methodologies are constrained by bespoke hardware that is often cumbersome to wear, complex to apply, and demands substantial computational resources. To overcome these limitations, we investigated the application of Electrooculography (EOG) eye tracking using 14 electrodes positioned around the ears, integrated into a custom-built headphone form factor device. In a controlled laboratory experiment, 16 participants tracked a series of on-screen stimuli designed to induce smooth pursuits and saccades. Data analysis identified the optimal electrode pairs for tracking vertical and horizontal eye movements, benchmarked against gold-standard EOG and camera-based eye tracking. The electrode montage closest to the eyes provided the best results for horizontal eye movements. One-dimensional smooth pursuit eye movements measured via earEOG exhibited a high correlation with the gold-standard for horizontal 1D pursuits spanning [Formula: see text] to [Formula: see text] visual angle for the best performing electrode pair ([Formula: see text]; [Formula: see text]). Vertical 1D smooth pursuits were only weakly correlated for the best performing pair ([Formula: see text]; [Formula: see text]). Voltage deflections of earEOG and gold-standard EOG for saccades from [Formula: see text] to [Formula: see text] in the four cardinal directions are highly correlated for horizontal eye movement ([Formula: see text]; [Formula: see text]) but not for vertical eye movements ([Formula: see text]; [Formula: see text]). A regression model was employed to predict absolute gaze angle changes of horizontal saccades using earEOG and gold-standard EOG. In the left and right directions, the earEOG model achieved a mean absolute angular error of [Formula: see text], for saccades ranging from [Formula: see text] to [Formula: see text]. In comparison, gold-standard EOG attained mean absolute angular error of [Formula: see text]. Overall, horizontal earEOG demonstrated strong performance, indicating its potential effectiveness in our setup. On the other hand, vertical earEOG showed significantly poorer results, suggesting that it may not be feasible with our current configuration.
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