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Microsaccade detection using pupil and corneal reflection signals

Niehorster, Diederick C LU and Nyström, Marcus LU (2018) In ACM Symposium on Eye Tracking Research & Applications (ETRA)
Abstract
In contemporary research, microsaccade detection is typically performed using the calibrated gaze-velocity signal acquired from a video-based eye tracker. To generate this signal, the pupil and corneal reflection (CR) signals are subtracted from each other and a differentiation filter is applied, both of which may prevent small microsaccades from being detected due to signal distortion and noise amplification. We propose a new algorithm where microsaccades are detected directly from uncalibrated pupil-, and CR signals. It is based on detrending followed by windowed correlation between pupil and CR signals. The proposed algorithm outperforms the most commonly used algorithm in the field (Engbert & Kliegl, 2003), in particular for small... (More)
In contemporary research, microsaccade detection is typically performed using the calibrated gaze-velocity signal acquired from a video-based eye tracker. To generate this signal, the pupil and corneal reflection (CR) signals are subtracted from each other and a differentiation filter is applied, both of which may prevent small microsaccades from being detected due to signal distortion and noise amplification. We propose a new algorithm where microsaccades are detected directly from uncalibrated pupil-, and CR signals. It is based on detrending followed by windowed correlation between pupil and CR signals. The proposed algorithm outperforms the most commonly used algorithm in the field (Engbert & Kliegl, 2003), in particular for small amplitude microsaccades that are difficult to see in the velocity signal even with the naked eye. We argue that it is advantageous to consider the most basic output of the eye tracker, i.e. pupil-, and CR signals, when detecting small microsaccades. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
in press
subject
in
ACM Symposium on Eye Tracking Research & Applications (ETRA)
pages
5 pages
external identifiers
  • scopus:85049693031
ISBN
978-145035706-7
DOI
10.1145/3204493.3204573
language
English
LU publication?
yes
id
4e31ead5-6739-47cc-89b7-c735e81341b1
date added to LUP
2018-05-17 09:22:22
date last changed
2018-08-05 04:49:34
@inproceedings{4e31ead5-6739-47cc-89b7-c735e81341b1,
  abstract     = {In contemporary research, microsaccade detection is typically performed using the calibrated gaze-velocity signal acquired from a video-based eye tracker. To generate this signal, the pupil and corneal reflection (CR) signals are subtracted from each other and a differentiation filter is applied, both of which may prevent small microsaccades from being detected due to signal distortion and noise amplification. We propose a new algorithm where microsaccades are detected directly from uncalibrated pupil-, and CR signals. It is based on detrending followed by windowed correlation between pupil and CR signals. The proposed algorithm outperforms the most commonly used algorithm in the field (Engbert & Kliegl, 2003), in particular for small amplitude microsaccades that are difficult to see in the velocity signal even with the naked eye. We argue that it is advantageous to consider the most basic output of the eye tracker, i.e. pupil-, and CR signals, when detecting small microsaccades.},
  author       = {Niehorster, Diederick C and Nyström, Marcus},
  booktitle    = {ACM Symposium on Eye Tracking Research & Applications (ETRA)},
  isbn         = {978-145035706-7},
  language     = {eng},
  month        = {04},
  pages        = {5},
  title        = {Microsaccade detection using pupil and corneal reflection signals},
  url          = {http://dx.doi.org/10.1145/3204493.3204573},
  year         = {2018},
}