The effect of sampling rate and lowpass filters on saccades - A modeling approach
The study of eye movements has become popular in many fields of science. However, using the preprocessed output of an eye tracker without scrutiny can lead to low-quality or even erroneous data. For example, the sampling rate of the eye tracker influences saccadic peak velocity, while inadequate filters fail to suppress noise or introduce artifacts. Despite previously published guiding values, most filter choices still seem motivated by a trial-and-error approach, and a thorough analysis of filter effects is missing. Therefore, we developed a simple and easy-to-use saccade model that incorporates measured amplitude-velocity main sequences and produces saccades with a similar frequency content to real saccades. We also derived a velocity divergence measure to rate deviations between velocity profiles. In total, we simulated 155 saccades ranging from 0.5° to 60° and subjected them to different sampling rates, noise compositions, and various filter settings. The final goal was to compile a list with the best filter settings for each of these conditions. Replicating previous findings, we observed reduced peak velocities at lower sampling rates. However, this effect was highly non-linear over amplitudes and increasingly stronger for smaller saccades. Interpolating the data to a higher sampling rate significantly reduced this effect. We hope that our model and the velocity divergence measure will be used to provide a quickly accessible ground truth without the need for recording and manually labeling saccades. The comprehensive list of filters allows one to choose the correct filter for analyzing saccade data without resorting to trial-and-error methods.
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2017 |
|---|---|
| Erschienen: |
2017 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:49 |
|---|---|
| Enthalten in: |
Behavior research methods - 49(2017), 6 vom: 28. Dez., Seite 2146-2162 |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Mack, David J [VerfasserIn] |
|---|
| Links: |
|---|
| Themen: |
Data processing |
|---|
| Anmerkungen: |
Date Completed 11.06.2018 Date Revised 17.10.2018 published: Print Citation Status MEDLINE |
|---|
| doi: |
10.3758/s13428-016-0848-4 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM268416125 |
|---|
| LEADER | 01000naa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM268416125 | ||
| 003 | DE-627 | ||
| 005 | 20231224222619.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 231224s2017 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.3758/s13428-016-0848-4 |2 doi | |
| 028 | 5 | 2 | |a pubmed24n0894.xml |
| 035 | |a (DE-627)NLM268416125 | ||
| 035 | |a (NLM)28130727 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Mack, David J |e verfasserin |4 aut | |
| 245 | 1 | 4 | |a The effect of sampling rate and lowpass filters on saccades - A modeling approach |
| 264 | 1 | |c 2017 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Completed 11.06.2018 | ||
| 500 | |a Date Revised 17.10.2018 | ||
| 500 | |a published: Print | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a The study of eye movements has become popular in many fields of science. However, using the preprocessed output of an eye tracker without scrutiny can lead to low-quality or even erroneous data. For example, the sampling rate of the eye tracker influences saccadic peak velocity, while inadequate filters fail to suppress noise or introduce artifacts. Despite previously published guiding values, most filter choices still seem motivated by a trial-and-error approach, and a thorough analysis of filter effects is missing. Therefore, we developed a simple and easy-to-use saccade model that incorporates measured amplitude-velocity main sequences and produces saccades with a similar frequency content to real saccades. We also derived a velocity divergence measure to rate deviations between velocity profiles. In total, we simulated 155 saccades ranging from 0.5° to 60° and subjected them to different sampling rates, noise compositions, and various filter settings. The final goal was to compile a list with the best filter settings for each of these conditions. Replicating previous findings, we observed reduced peak velocities at lower sampling rates. However, this effect was highly non-linear over amplitudes and increasingly stronger for smaller saccades. Interpolating the data to a higher sampling rate significantly reduced this effect. We hope that our model and the velocity divergence measure will be used to provide a quickly accessible ground truth without the need for recording and manually labeling saccades. The comprehensive list of filters allows one to choose the correct filter for analyzing saccade data without resorting to trial-and-error methods | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Data processing | |
| 650 | 4 | |a Eye movements | |
| 650 | 4 | |a Eye tracking | |
| 650 | 4 | |a Saccadic peak velocity | |
| 650 | 4 | |a Similarity measure | |
| 700 | 1 | |a Belfanti, Sandro |e verfasserin |4 aut | |
| 700 | 1 | |a Schwarz, Urs |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Behavior research methods |d 2005 |g 49(2017), 6 vom: 28. Dez., Seite 2146-2162 |w (DE-627)NLM157164268 |x 1554-3528 |7 nnns |
| 773 | 1 | 8 | |g volume:49 |g year:2017 |g number:6 |g day:28 |g month:12 |g pages:2146-2162 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.3758/s13428-016-0848-4 |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 49 |j 2017 |e 6 |b 28 |c 12 |h 2146-2162 | ||