Evidence map›Paper›PMID 40940395›Full record

ArticleScientific reports2025

earEOG via periauricular electrodes to facilitate eye tracking in a natural headphone form factor.

Tobias King, Michael Knierim, Philipp Lepold, Christopher Clarke, Hans Gellersen, Michael Beigl, Tobias Röddiger

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Tobias King *Karlsruhe Institute of Technology, TECO/Pervasive Computing Systems, 76131, Karlsruhe, Germany. tobias.king@kit.edu.
Michael Knierim *Karlsruhe Institute of Technology, Institute of Information Systems and Marketing, 76131, Karlsruhe, Germany.
Philipp LepoldKarlsruhe Institute of Technology, TECO/Pervasive Computing Systems, 76131, Karlsruhe, Germany.
Christopher ClarkeUniversity of Bath, Human Computer Interaction, Bath, BA2 7AY, UK.
Hans GellersenLancaster University, Interactive Systems, Lancaster, LA1 4YW, UK.
Michael BeiglKarlsruhe Institute of Technology, TECO/Pervasive Computing Systems, 76131, Karlsruhe, Germany.
Tobias RöddigerKarlsruhe Institute of Technology, TECO/Pervasive Computing Systems, 76131, Karlsruhe, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

ElectrooculographyEye MovementsEye-Tracking TechnologyAdultElectrodesFemaleHumansMalePursuit, SmoothSaccadesYoung Adult

Identifiers

PMID40940395
PMCPMC12432261

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.