Evidence map›Paper›PMID 38424292›Full record

ArticleBehavior research methods2024

What is a blink? Classifying and characterizing blinks in eye openness signals.

Marcus Nyström, Richard Andersson, Diederick C Niehorster, Roy S Hessels, Ignace T C Hooge

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Article in Behavior research methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

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19citing papers in PubMed
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1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Marcus NyströmLund University Humanities Lab, Box 201, SE-221 00, Lund, Sweden. marcus.nystrom@humlab.lu.se.ORCID http://orcid.org/0000-0002-2089-9012
Richard AnderssonTobii AB, Box 743, SE-182 17, Danderyd, Sweden.
Diederick C NiehorsterLund University Humanities Lab and Department of Psychology, Box 201, SE-221 00, Lund, Sweden.
Roy S HesselsExperimental Psychology, Helmholtz Institute, Utrecht University, Heidelberglaan 1, 3584, CS, Utrecht, The Netherlands.
Ignace T C HoogeExperimental Psychology, Helmholtz Institute, Utrecht University, Heidelberglaan 1, 3584, CS, Utrecht, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blinks, the closing and opening of the eyelids, are used in a wide array of fields where human function and behavior are studied. In data from video-based eye trackers, blink rate and duration are often estimated from the pupil-size signal. However, blinks and their parameters can be estimated only indirectly from this signal, since it does not explicitly contain information about the eyelid position. We ask whether blinks detected from an eye openness signal that estimates the distance between the eyelids (EO blinks) are comparable to blinks detected with a traditional algorithm using the pupil-size signal (PS blinks) and how robust blink detection is when data quality is low. In terms of rate, there was an almost-perfect overlap between EO and PS blink (F1 score: 0.98) when the head was in the center of the eye tracker's tracking range where data quality was high and a high overlap (F1 score 0.94) when the head was at the edge of the tracking range where data quality was worse. When there was a difference in blink rate between EO and PS blinks, it was mainly due to data loss in the pupil-size signal. Blink durations were about 60 ms longer in EO blinks compared to PS blinks. Moreover, the dynamics of EO blinks was similar to results from previous literature. We conclude that the eye openness signal together with our proposed blink detection algorithm provides an advantageous method to detect and describe blinks in greater detail.

Indexed as

AlgorithmsBlinkingEye-Tracking TechnologyAdultEyelidsEye MovementsFemaleHumansMalePupilBlinkEye tracking

Identifiers

PMID38424292
PMCPMC11133197

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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.