short-paper

The Perception Engineer’s Toolkit for Eye-Tracking data analysis

Author:

Thomas C KublerAuthors Info & Claims

ETRA '20 Short Papers: ACM Symposium on Eye Tracking Research and Applications

Article No.: 15, Pages 1 - 4

https://doi.org/10.1145/3379156.3391366

Published: 02 June 2020 Publication History

Abstract

Tools for eye-tracking data analysis are as of now either provided as proprietary software by the eye-tracker manufacturer or published by researchers under licenses that are problematic for some use-cases (e.g., GPL3). This lead to repeated re-implementation of the most basic building blocks, such as event filters, often resulting in incomplete, incomparable and even erroneous implementations.

The Perception Engineer’s Toolkit is a collection of basic functionality for eye-tracking data analysis double licensed with CC0 or MIT license that allows for easy integration, modification and extension of the codebase. Methods for data import from different formats, signal pre-processing and quality checking as well as several event detection algorithms are included. The processed data can be visualized as gaze density map or reduced to key metrics of the detected eye movement events. It is programmed entirely in python utilizing high performance matrix libraries and allows for easy scripting access to batch-process large amounts of data.

The code is available at https://bitbucket.org/fahrensiesicher/perceptionengineerstoolkit

References

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Digital Library

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T. Santini, W. Fuhl, T. C. Kübler, and E. Kasneci. 2016. Bayesian Identification of Fixations, Saccades, and Smooth Pursuits. In Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications (ETRA). 163–170.

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https://doi.org/10.3389/fpsyg.2022.881269
Lukashova-Sanz OWahl S(2021)Saliency-Aware Subtle Augmentation Improves Human Visual Search Performance in VRBrain Sciences10.3390/brainsci1103028311:3(283)Online publication date: 25-Feb-2021
https://doi.org/10.3390/brainsci11030283
Elshamy MKhooshabeh P(2021)Fixation: A universal framework for experimental eye movement research✱ACM Symposium on Eye Tracking Research and Applications10.1145/3448018.3458007(1-5)Online publication date: 25-May-2021
https://dl.acm.org/doi/10.1145/3448018.3458007
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Published In

cover image ACM Conferences

ETRA '20 Short Papers: ACM Symposium on Eye Tracking Research and Applications

June 2020

305 pages

ISBN:9781450371346

DOI:10.1145/3379156

Editors:
Andreas Bulling
University of Stuttgart, Germany
,
Anke Huckauf
Ulm University, Germany
,
Eakta Jain
University of Florida, USA
,
Ralph Radach
University of Wuppertal, Germany
,
Daniel Weiskopf
University of Stuttgart, Germany

Copyright © 2020 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Published: 02 June 2020

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ETRA '20

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ETRA '20: 2020 Symposium on Eye Tracking Research and Applications

June 2 - 5, 2020

Stuttgart, Germany

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Cited By

Lukashova-Sanz OAgarwala RWahl S(2022)Context matters during pick-and-place in VR: Impact on search and transport phasesFrontiers in Psychology10.3389/fpsyg.2022.88126913Online publication date: 8-Sep-2022
https://doi.org/10.3389/fpsyg.2022.881269
Lukashova-Sanz OWahl S(2021)Saliency-Aware Subtle Augmentation Improves Human Visual Search Performance in VRBrain Sciences10.3390/brainsci1103028311:3(283)Online publication date: 25-Feb-2021
https://doi.org/10.3390/brainsci11030283
Elshamy MKhooshabeh P(2021)Fixation: A universal framework for experimental eye movement research✱ACM Symposium on Eye Tracking Research and Applications10.1145/3448018.3458007(1-5)Online publication date: 25-May-2021
https://dl.acm.org/doi/10.1145/3448018.3458007
Kasneci EKasneci GAppel THaug JWortha FTibus MTrautwein UGerjets P(2021)TüEyeQ, a rich IQ test performance data set with eye movement, educational and socio-demographic informationScientific Data10.1038/s41597-021-00938-38:1Online publication date: 16-Jun-2021
https://doi.org/10.1038/s41597-021-00938-3

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