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

Simple item page
dc.contributor.authorRaju, Mehedi H.
dc.contributor.authorFriedman, Lee
dc.contributor.authorBouman, Troy M.
dc.contributor.authorKomogortsev, Oleg
dc.date.accessioned2023-03-07T13:26:38Z
dc.date.available2023-03-07T13:26:38Z
dc.date.issued2023-03
dc.description.abstractIn a previous report (Raju et al.,2023) we concluded that, if the goal was to preserve events such as saccades, microsaccades, and smooth pursuit in eye-tracking recordings, data with sine wave frequencies less than 100 Hz (-3db) were the signal and data above 100 Hz were noise. We compare 5 filters in their ability to preserve signal and remove noise. Specifically, we compared the proprietary STD and EXTRA heuristic filters provided by our EyeLink 1000 (SR-Research, Ottawa, Canada), a Savitzky-Golay (SG) filter, an infinite impulse response (IIR) filter (low-pass Butterworth), and a finite impulse filter (FIR). For each of the non-heuristic filters, we systematically searched for optimal parameters. Both the IIR and the FIR filters were zero-phase filters. Mean frequency response profiles and amplitude spectra for all 5 filters are provided. In addition, we examined the effect of our filters on a noisy recording. Our FIR filter had the sharpest roll-off of any filter. Therefore, it maintained the signal and removed noise more effectively than any other filter. On this basis, we recommend the use of our FIR filter. Several reports have shown that filtering increased the temporal autocorrelation of a signal. To address this, the present filters were also evaluated in terms of autocorrelation (specifically the first 3 lags). Of all our filters, the STD filter introduced the least amount of autocorrelation.
dc.description.departmentComputer Science
dc.description.versionPreprint
dc.formatText
dc.format.extent10 pages
dc.format.medium1 file (.pdf)
dc.format.medium1 file (.zip)
dc.identifier.citationRaju, M. H., Friedman, L., Bouman, T. M., & Komogortsev, O. V. (2023). Filtering eye-tracking data from an EyeLink 1000: Comparing heuristic, Savitzky-Golay, IIR and FIR digital filters. [Preprint].
dc.identifier.urihttps://hdl.handle.net/10877/16492
dc.language.isoen
dc.subjecteye tracking
dc.subjectfourier transform
dc.subjectfrequency response
dc.subjectfilters
dc.subjectComputer Science
dc.titleFiltering Eye-Tracking Data from an EyeLink 1000: Comparing Heuristic, Savitzky-Golay, IIR and FIR Digital Filters
dc.typeArticle

Files

Original bundle

Now showing 1 - 2 of 2
Thumbnail Image
Name:
Arxiv_Filtering_Eye_Tracking_Data_From_an_EyeLink_1000__Comparing_Heuristic__Savitzky_Golay__IIR_and_FIR_Digital_Filters.pdf
Size:
1.61 MB
Format:
Adobe Portable Document Format
Description:
Download
No Thumbnail Available
Name:
Supplementary_Materials_Filtering_paper.zip
Size:
1.85 MB
Format:
Unknown data format
Description:
Download

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
2.54 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

College of Science and Engineering