ArticleJournal of eye movement research2020
What makes a microsaccade? A review of 70 years of research prompts a new detection method.
Article in Journal of eye movement research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Oculomotor Profiles in Children Wearing Different Myopia Control Lenses: A Real-World Eye Tracking Study.Vision (Basel, Switzerland) · 2026Article
- Better performance when recalling speed from object motion compared to texture motion.Journal of vision · 2026Article
- Microsaccade Dynamics During Visual Fixation as Markers for Parkinson's Disease: A Machine Learning Approach.Translational vision science & technology · 2026Article
- Active Sensing Subserves Task-Level Control.ArXiv · 2026Article
- C3I-SynMicrosaccade: A pipeline and dataset for microsaccade recognition using neuromorphic event camera streams.Data in brief · 2026Article
- Unstable foveation's impact on reading, object tracking, and its implications for diagnosing and intervening in reading difficulties.Scientific reports · 2025Article
- Microsaccades reflect attention shifts: a mini review of 20 years of microsaccade research.Frontiers in psychology · 2024Review
- Microsaccades, Drifts, Hopf Bundle and Neurogeometry.Journal of imaging · 2022Article
- The retinal and perceived locus of fixation in the human visual system.Journal of vision · 2021Article
- Emulated retinal image capture (ERICA) to test, train and validate processing of retinal images.Scientific reports · 2021Article
Corrections and comments
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Authors and funding
3 authors.
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Abstract
A new method for detecting microsaccades in eye-movement data is presented, following a review of reported microsaccade properties between the 1940s and today. The review focuses on the parameter ranges within which certain physical markers of microsaccades are thought to occur, as well as any features of microsaccades that have been stably reported over time. One feature of microsaccades, their binocularity, drives the new microsaccade detection method. The binocular correlation method for microsaccade detection is validated on two datasets of binocular eye-movements recorded using video-based systems: one collected as part of this study, and one from Nyström et al, 2017. Comparisons between detection methods are made using precision-recall statistics. This confirms that the binocular correlation method performs well when compared to manual coders and performs favourably compared to the commonly used Engbert & Kliegl (2003) method with subsequent modifications (Engbert & Mergenthaler, 2006). The binocular correlation microsaccade detection method is easy to implement and MATLAB code is made available to download.
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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.