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Related Experiment Video

Updated: Jan 4, 2026

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity

Published on: March 18, 2019

An adaptive algorithm for fast and reliable online saccade detection.

Richard Schweitzer^1,2,3, Martin Rolfs^4,5

¹Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany. richard.schweitzer@hu-berlin.de.

Behavior Research Methods

|November 10, 2019

Summary

This summary is machine-generated.

We developed a fast and accurate adaptive algorithm for detecting eye movements called saccades. This new method improves timing in visual perception experiments, enabling new research possibilities.

Keywords:

Eye movements Gaze-contingent presentation Intrasaccadic perception Saccade detection

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Last Updated: Jan 4, 2026

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity

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Published on: March 18, 2019

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Area of Science:

Neuroscience
Vision Science
Computational Neuroscience

Background:

Gaze-contingent paradigms in vision science require precise timing of stimuli relative to eye movements (saccades).
Existing online saccade detection algorithms often suffer from late detections or false alarms, limiting experimental accuracy.

Purpose of the Study:

To introduce a novel, adaptive, velocity-based algorithm for online saccade detection.
To enhance the speed and accuracy of saccade detection for improved gaze-contingent experimental timing.

Main Methods:

Developed an adaptive, velocity-based algorithm inspired by microsaccade detection techniques.
Algorithm computes 2D velocity thresholds from fixation data, compensating for noise and offering optional direction criteria.
Validated via simulation on a large saccade dataset and an experimental test with intrasaccadic stimulus presentation.

Main Results:

The algorithm achieved high detection accuracy (<1% false alarms) with minimal latency (3 ms).
Robust performance was maintained even under simulated high-noise conditions.
Experimental validation confirmed reliable detection of stimuli presented during saccades, invisible during fixation.

Conclusions:

The proposed algorithm offers superior speed and accuracy compared to standard saccade detection methods.
It provides a valuable, robust tool for precise timing in gaze-contingent visual perception research.
Enables technically feasible purely intrasaccadic stimulus presentations.