Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Diffusion Versus GAN for Subject-Specific Gaze Synthesis.

IEEE pulse·2026
Same author

Legalization of Cannabis Effect on Pediatric Edible Cannabis Exposures 2017-2022.

Clinical pediatrics·2026
Same author

Tyrosine-Peptide Analog Modulates Extracellular Vesicles miRNAs Cargo from Mesenchymal Stem/Stromal and Cancer Cells to Drive Immunoregeneration and Tumor Suppression.

Biomolecules·2026
Same author

The percentile-matching technique for synthetic eye tracking signal degradation: A biometric case study.

PloS one·2025
Same author

Evidence for five types of fixation during a random saccade eye tracking task and changes in fixation duration as a function of time-on-task.

PloS one·2024
Same author

Authors' response to "Resting diffusing capacity and severity of radiographic disease predict gas exchange abnormalities with exercise in former US coal miners".

American journal of industrial medicine·2024

Related Experiment Video

Updated: Jun 22, 2025

Using Electroencephalography Measurements and High-quality Video Recording for Analyzing Visual Perception of Media Content
10:41

Using Electroencephalography Measurements and High-quality Video Recording for Analyzing Visual Perception of Media Content

Published on: May 26, 2018

6.9K

Filtering Eye-Tracking Data From an EyeLink 1000: Comparing Heuristic, Savitzky-Golay, IIR and FIR Digital Filters.

Mehedi H Raju1, Lee Friedman1, Troy M Bouman2

  • 1Department of Computer Science Texas State University San Marcos, Texas, USA.

Journal of Eye Movement Research
|July 3, 2024
PubMed
Summary

A prior study identified eye-tracking signal below 75 Hz and noise above. This study compared five filters, finding the finite impulse response (FIR) filter most effectively preserved signal and removed noise.

Keywords:
Eye movementautocorrelationfilternoisesignal

More Related Videos

VisualEyes: A Modular Software System for Oculomotor Experimentation
10:41

VisualEyes: A Modular Software System for Oculomotor Experimentation

Published on: March 25, 2011

12.7K
Author Spotlight: An Accurate and Quantitative Approach to Study Visual Feature Selectivity of the Optokinetic Reflex in Mice
09:28

Author Spotlight: An Accurate and Quantitative Approach to Study Visual Feature Selectivity of the Optokinetic Reflex in Mice

Published on: June 23, 2023

2.5K

Related Experiment Videos

Last Updated: Jun 22, 2025

Using Electroencephalography Measurements and High-quality Video Recording for Analyzing Visual Perception of Media Content
10:41

Using Electroencephalography Measurements and High-quality Video Recording for Analyzing Visual Perception of Media Content

Published on: May 26, 2018

6.9K
VisualEyes: A Modular Software System for Oculomotor Experimentation
10:41

VisualEyes: A Modular Software System for Oculomotor Experimentation

Published on: March 25, 2011

12.7K
Author Spotlight: An Accurate and Quantitative Approach to Study Visual Feature Selectivity of the Optokinetic Reflex in Mice
09:28

Author Spotlight: An Accurate and Quantitative Approach to Study Visual Feature Selectivity of the Optokinetic Reflex in Mice

Published on: June 23, 2023

2.5K

Area of Science:

  • Ophthalmology
  • Neuroscience
  • Biomedical Engineering

Background:

  • Eye-tracking recordings capture crucial data on saccades, microsaccades, and smooth pursuit.
  • Distinguishing signal from noise in eye-tracking data is vital for accurate analysis.
  • Previous research established 75 Hz as a critical frequency threshold for signal preservation.

Purpose of the Study:

  • To evaluate and compare the efficacy of five different filters in preserving signal and removing noise in eye-tracking data.
  • To identify the optimal filter for maintaining critical eye movement events.

Main Methods:

  • Compared proprietary (STD, EXTRA), Savitzky-Golay (SG), infinite impulse response (IIR), and finite impulse response (FIR) filters.
  • Systematically optimized parameters for non-heuristic filters (SG, IIR, FIR).
  • Evaluated filters on 216 fixation segments (256 samples) from nine subjects, analyzing frequency response and amplitude spectra.

Main Results:

  • The finite impulse response (FIR) filter demonstrated the sharpest roll-off among all tested filters.
  • The FIR filter proved most effective in preserving signal while concurrently removing noise.
  • Analysis included frequency response profiles, amplitude spectra, and effects on temporal autocorrelation.

Conclusions:

  • The finite impulse response (FIR) filter is recommended for eye-tracking data analysis due to its superior performance in signal preservation and noise reduction.
  • The study provides a comprehensive comparison of filter performance for critical eye movement event analysis.