GazeParser: an open-source and multiplatform library for low-cost eye tracking and analysis

Sogo, Hiroyuki

doi:10.3758/s13428-012-0286-x

Cited by 40 publications

(28 citation statements)

References 16 publications

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“…The mean sampling interval error was less than 1 ms. In gap/overlap tasks and antisaccade tasks, the mean latency and amplitude of saccades recorded by GazeParser was in agreement with those recorded by the Eyelink system (Sogo, 2013). …”

Section: Introduction: Simplegazetracker and Psychtoolboxsupporting

confidence: 82%

“…GazeParser is an open-source library for eye tracking and gaze data analysis (Sogo, 2013). It supports multiple camera units (OptiTrack USB 2.0 cameras, PointGray Flea3 UBS 3.0 cameras, CameraLink cameras and cameras supported by OpenCV) so that users can select a camera unit suitable for their requirements.…”

Section: Introduction: Simplegazetracker and Psychtoolboxmentioning

confidence: 99%

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Sgttoolbox: Utility for controlling SimpleGazeTracker from Psychtoolbox

Sogo

2016

Behav Res

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Eye movement analysis is effective for investigating visual perception and cognition. The cost of conducting eye movement studies has decreased as a result of the recent release of low-cost commercial and open-source eye trackers. However, synchronizing visual stimulus presentation with eye movement recording is still difficult, particularly if the eye tracker does not come with a practical application programming interface. This paper introduces a Matlab/Octave toolbox named Sgttoolbox, which works in conjunction with the widely used experiment control library Psychtoolbox to control a cross-platform open-source eye tracker named SimpleGazeTracker, which is an eye-tracking application of GazeParser software. Hardware and software requirements for Sgttoolbox and its main functions are described. A test of temporal accuracy showed that eye movement sampling frequency was stable when stimulus presentation and recording were performed on a single PC, although better performance was obtained when presentation and recording were performed on separate PCs. Transferring the latest eye position from SimpleGazeTracker to Psychtoolbox script takes 2 to 4 ms on average, which causes a delay in drawing multiple visual stimuli when recording and stimulus presentation were performed on a single PC. When such a transfer delay is not importnat, Sgttoolbox would be a good choice for Psychtoolbox users who wish to conduct eye-tracking studies.

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Section: Introduction: Simplegazetracker and Psychtoolboxsupporting

confidence: 82%

Section: Introduction: Simplegazetracker and Psychtoolboxmentioning

confidence: 99%

Sgttoolbox: Utility for controlling SimpleGazeTracker from Psychtoolbox

Sogo

2016

Behav Res

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“…The most common apparatus for recording pupil size is video camera recording, usually with infrared sensitive cameras that require subjects to be in testing environments with low levels of illumination (e.g., (58)). Pupil size measurement is integral in some and optionally available in other commercial gaze tracking systems.…”

Section: Measuring Affective Influences On Pupil Sizementioning

confidence: 99%

Using pupil size and heart rate to infer affective states during behavioral neurophysiology and neuropsychology experiments

Mitz

Chacko

Putnam

et al. 2017

Journal of Neuroscience Methods

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Background Nonhuman primates (NHPs) are a valuable research model because of their behavioral, physiological and neuroanatomical similarities to humans. In the absence of language, autonomic activity can provide crucial information about cognitive and affective states during single-unit recording, inactivation and lesion studies. Methods standardized for use in humans are not easily adapted to NHPs and detailed guidance has been lacking. New Method We provide guidance for monitoring heart rate and pupil size in the behavioral neurophysiology setting by addressing the methodological issues, pitfalls and solutions for NHP studies. The methods are based on comparative physiology to establish a rationale for each solution. We include examples from both electrophysiological and lesion studies. Results Single-unit recording, pupil responses and heart rate changes represent a range of decreasing temporal resolution, a characteristic that impacts experimental design and analysis. We demonstrate the unexpected result that autonomic measures acquired before and after amygdala lesions are comparable despite disruption of normal autonomic function. Comparison with Existing Methods Species and study design differences can render standard techniques used in human studies inappropriate for NHP studies. We show how to manage data from small groups typical of NHP studies, data from the short behavioral trials typical of neurophysiological studies, issues associated with longitudinal studies, and differences in anatomy and physiology. Conclusions Autonomic measurement to infer cognitive and affective states in NHP is neither off-the-shelf nor onerous. Familiarity with the issues and solutions will broaden the use of autonomic signals in NHP single unit and lesion studies.

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“…Concurrent with this increase in availability of low-cost eye trackers, there is an emerging trend to publish software for (scientific) eye tracking on an open-source basis, making it freely available to all. Examples range from openEyes (Li, Babcock, & Parkhurst, 2006), a complete head-mounted device with tracking software; via ITU's Gaze Tracker (San Agustin et al, 2010;San Agustin, Skovsgaard, Hansen, & Hansen, 2009) and GazeParser (Sogo, 2013), packages designed to analyse (web)camera footage of eyes; to PsychoPy (Peirce, 2007(Peirce, , 2009, OpenSesame (Mathôt, Schreij, & Theeuwes, 2012) and PyGaze , stimulus generators that support existing (mostly commercial) eye trackers.…”

Section: Introductionmentioning

confidence: 99%

Is the low-cost EyeTribe eye tracker any good for research?

Dalmaijer

2014

Preprint

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Pre-print noteThis manuscript has been pre-published, to speed up scientific communications. This allows researchers to have access to the results before formal publication. However, it does mean this manuscript has not been peer-reviewed yet. The manuscript has been submitted for publication to a peer-reviewed venue. AcknowledgementsThe author is not in any way affiliated or sponsored by the EyeTribe or any other AbstractEye-tracking technology is becoming increasingly cheaper, both on the hardware and on the software front. Currently, the EyeTribe tracker is the most inexpensive commercial eye tracker in the world, at a price of $99. The low costs make it a potentially interesting resource for research, but no objective testing of its quality has been performed yet. Here the EyeTribe tracker is compared with an EyeLink 1000, a high-quality video eye tracker.Results indicate that the spatial precision and accuracy are good enough for fixation checking, point-of-regard analyses, and pupilometry. However, the low sampling rate renders the device unsuitable for testing high-accuracy saccade metrics. Additionally, opensource toolboxes for Matlab and Python, and a plug-in for OpenSesame are presented, which can be used to interface with the EyeTribe tracker.

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GazeParser: an open-source and multiplatform library for low-cost eye tracking and analysis

Cited by 40 publications

References 16 publications

Sgttoolbox: Utility for controlling SimpleGazeTracker from Psychtoolbox

Sgttoolbox: Utility for controlling SimpleGazeTracker from Psychtoolbox

Using pupil size and heart rate to infer affective states during behavioral neurophysiology and neuropsychology experiments

Is the low-cost EyeTribe eye tracker any good for research?

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