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Hans Gellersen

PSOVIS: An interactive tool for extracting post-saccadic oscillations from eye movement data

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PSOVIS: An interactive tool for extracting post-saccadic oscillations from eye movement data. / Mardanbegi, Diako; Wilcockson, Thomas; Xia, Baiqiang; Gellersen, Hans-Werner Georg; Crawford, Trevor Jeremy; Sawyer, Peter.

2017.

Research output: Contribution to conferencePaperResearchpeer-review

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Author

Mardanbegi, Diako ; Wilcockson, Thomas ; Xia, Baiqiang ; Gellersen, Hans-Werner Georg ; Crawford, Trevor Jeremy ; Sawyer, Peter. / PSOVIS: An interactive tool for extracting post-saccadic oscillations from eye movement data.

Bibtex

@conference{d85d96847e4c4cabaeb577482736acf1,
title = "PSOVIS: An interactive tool for extracting post-saccadic oscillations from eye movement data",
abstract = "Post-microsaccadic eye movements recorded by high frame-rate pupil-based eye trackers reflect movements of different ocular structures such as deformation of the iris and pupil- eyeball relative movement as well as the dynamic overshoot of the eye globe at the end of each saccade. These Post-Saccadic Oscillations (PSO) exhibit a high degree of reproducibility across saccades and within participants. Therefore in order to study the characteristics of the post-saccadic eye movements, it is often desirable to extract the post-saccadic parts of the recorded saccades and to look at the ending part of all saccades. In order to ease the study- ing of PSO eye movements, a simple tool for extracting PSO signals from the eye movement recordings has been developed. The software application implements functions for extracting, aligning, visualising and finally exporting the PSO signals from eye movement recordings, to be used for post-processing. The code which is written in Python can be download from https://github.com/dmardanbeigi/PSOVIS.git",
author = "Diako Mardanbegi and Thomas Wilcockson and Baiqiang Xia and Gellersen, {Hans-Werner Georg} and Crawford, {Trevor Jeremy} and Peter Sawyer",
note = "COGAIN Symposium : Communication by Gaze Interaction ; Conference date: 21-08-2017 Through 21-08-2017",
year = "2017",
month = aug,
day = "21",
language = "English",

}

RIS

TY - CONF

T1 - PSOVIS: An interactive tool for extracting post-saccadic oscillations from eye movement data

AU - Mardanbegi, Diako

AU - Wilcockson, Thomas

AU - Xia, Baiqiang

AU - Gellersen, Hans-Werner Georg

AU - Crawford, Trevor Jeremy

AU - Sawyer, Peter

N1 - COGAIN Symposium : Communication by Gaze Interaction ; Conference date: 21-08-2017 Through 21-08-2017

PY - 2017/8/21

Y1 - 2017/8/21

N2 - Post-microsaccadic eye movements recorded by high frame-rate pupil-based eye trackers reflect movements of different ocular structures such as deformation of the iris and pupil- eyeball relative movement as well as the dynamic overshoot of the eye globe at the end of each saccade. These Post-Saccadic Oscillations (PSO) exhibit a high degree of reproducibility across saccades and within participants. Therefore in order to study the characteristics of the post-saccadic eye movements, it is often desirable to extract the post-saccadic parts of the recorded saccades and to look at the ending part of all saccades. In order to ease the study- ing of PSO eye movements, a simple tool for extracting PSO signals from the eye movement recordings has been developed. The software application implements functions for extracting, aligning, visualising and finally exporting the PSO signals from eye movement recordings, to be used for post-processing. The code which is written in Python can be download from https://github.com/dmardanbeigi/PSOVIS.git

AB - Post-microsaccadic eye movements recorded by high frame-rate pupil-based eye trackers reflect movements of different ocular structures such as deformation of the iris and pupil- eyeball relative movement as well as the dynamic overshoot of the eye globe at the end of each saccade. These Post-Saccadic Oscillations (PSO) exhibit a high degree of reproducibility across saccades and within participants. Therefore in order to study the characteristics of the post-saccadic eye movements, it is often desirable to extract the post-saccadic parts of the recorded saccades and to look at the ending part of all saccades. In order to ease the study- ing of PSO eye movements, a simple tool for extracting PSO signals from the eye movement recordings has been developed. The software application implements functions for extracting, aligning, visualising and finally exporting the PSO signals from eye movement recordings, to be used for post-processing. The code which is written in Python can be download from https://github.com/dmardanbeigi/PSOVIS.git

M3 - Paper

ER -